Engineering: general Books

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Book SynopsisTomorrow's Professor is designed to help you prepare for, find, and succeed at academic careers in science and engineering. It looks at the full range of North American four-year academic institutions while featuring 30 vignettes and more than 50 individual stories that bring to life the principles and strategies outlined in the book.Table of ContentsPreface xiii Acknowledgments xv Introduction xvii Part I Setting the Stage 1 Chapter 1 The Academic Enterprise 3 Chapter 2 Science and Engineering in Higher Education 37 Chapter 3 New Challenges for the Professoriate 59 Part II Preparing for an Academic Career 81 Chapter 4 Your Professional Preparation Strategy 83 Chapter 5 Research as a Graduate Student and Postdoc 107 Chapter 6 Teaching Experiences Prior to Becoming a Professor 143 Part III Finding and Getting the Best Possible Academic Position 165 Chapter 7 Identifying the Possibilities 167 Chapter 8 Applying for Positions 183 Chapter 9 Getting the Results You Want 221 Part IV Looking Ahead to Your First Years on the Job - Advice from the Field 241 Changing Gears 243 Chapter 10 Insights on Time Management 245 Chapter 11 Insights on Teaching and Learning 261 Chapter 12 Insights on Research 289 Chapter 13 Insights on Professional Responsibility 309 Chapter 14 Insights on Tenure 327 Chapter 15 Insights on Academia: Needed Changes 351 Part V Appendixes 363 Appendix A Possible Items for Inclusion in a Teaching Portfolio 363 Appendix B Statement of Personal Philosophy Regarding Teaching and Learning 367 Appendix C Professional Associations for Academic Job Seekers in Science and Engineering 369 Appendix D Questions to Ask Before Accepting a Faculty Position 373 Appendix E Sample Offer Letters 381 Appendix F Elements Found in Most Successful Proposals 387 Appendix G Common Shortcomings of Grant Proposals 391 Index 393 About the Author 415

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Book SynopsisExamines teamwork in the engineering workplace, offering team members at various levels tips, techniques, and precautions for better management and optimum productivity. This book covers the following important topics: vital team tools, team member responsibilities, team development through feedback, and overcoming separation in time or space.

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Book SynopsisAn intriguing book about the aesthetics of technological objects and the relationship between technical and artistic accomplishment.Trade ReviewArtifice and Design is a fascinating book in the philosophical anthropology of art and technology. Arguing against the injustice of the dualism of technology and aesthetics, Barry Allen proves that they always go hand in hand and provides numerous examples to overcome the dichotomy. Skeptical of the rationalism that distinguishes art from science, he strongly endorses the cultivation of aesthetic design and ongoing attention to the human perceptual interface with artifice. -- Albena Yaneva * Isis *Allen looks at familiar ideas from a fresh and generally passionate angle.... He frequently uses bridges as a way of illustrating the convergences and relationships he explores, and Artifice and Design touches on disciplines ranging from cognitive psychology to history and from sociology to evolutionary biology.... Allen is as likely to talk, and talk well, about vectors and static equilibrium as about the ideas of Aristotle and the Chinese philosopher Zhuangzi.... What results is a compelling and unique work that argues that art and technology, far from needing a conscious effort to be brought together, would require a vigorous effort to be kept apart. * Civil Engineering *Situated at the intersection of philosophy of technology and philosophy of art, this book explores the influence of aesthetic considerations on technical design and the impact of technology on art. It is more a philosophical commonplace book than a systematic treatise, but this is its great virtue. Allen displays formidable erudition, drawing on a wide range of natural and social scientific literatures, art history, and both the Continental and analytical philosophical traditions. The book is packed with fascinating and sometimes little-known information about human evolution (particularly the evolution of the human hand, language, and cognition), the design of bridges, the history of technology, the nature of tools (and how they are unique to humans), and a host of other subjects.... The book is full of insights into art and technology, and all readers interested in philosophy of technology or philosophy of art can learn something from it. * Choice *

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Book SynopsisWhile engineers played a critical role in the performance of both the Union and Confederate armies during the Civil War, few historians have examined their experiences or impact. This book fills a gap in that historiography by analyzing the accomplishments of these individuals working for the Confederacy in the Western Theater.

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Book SynopsisTells the dramatic story of ILC Industries 's role in the Apollo Program. A fascinating behind-the-scenes history of a vital component of the space program, Lunar Outfitters goes inside the suit that made it possible for human beings to set foot on the Moon.Trade Review“Ayrey, a testing lab manager for the textile manufacturer International Latex Corporation Industries, provides a pleasing insider’s look at the space suits ILC constructed for NASA’s Apollo program. He explains that the Apollo space suit grew out of the stiff pressure suits created for early 20th-century pilots who flew unpressurized planes at high altitudes. ILC’s experience making pressure helmets for the U.S. Air Force formed the foundation for its space suit work, but it was sometimes an uphill battle for the company, with its occasionally laissez-faire culture, to fit into NASA’s highly bureaucratic structure. But, Ayrey notes, the dedication and craftsmanship of ILC’s staff meshed well with the attention to detail and fit each suit required. Ayrey’s details fascinate: made from 15 layers of materials, each suit was custom fitted to its wearer, right down to gloves made from molds of the specific astronaut’s hands. Suit testing included an x-ray to be sure no pins had been left behind while the suits were being sewn—a critical suit check still done today. Black and white photos and engineering design diagrams add helpful visual detail to the text. This accessible, anecdote-packed history will please many an astronomy buff.”—Publishers Weekly

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Book SynopsisLongtime ILC space suit test engineer Bill Ayrey draws on original files and photographs to tell the dramatic story of the company’s role in the Apollo Program. A fascinating behind-the-scenes history of a vital component of the space program, this book goes inside the suit that made it possible for human beings to set foot on the moon.Trade ReviewAn excellent addition to the existing literature on this subject. . . . [We can] hope that current space suit designers are reading Ayrey's book and learning the lessons it has to teach." - Quest: The History of Spaceflight QuarterlyTable of Contents Preface Introduction Part I. Humble Beginnings 1. School of Hard Knocks 2. Developing the State-of-the-Art Space Suit 3. The Turbulent Years, 1962–1965 4. Second Chances: The Model AX-5L and A-5L Suits Part II. Building the Moon Suits 5. The Model A-5L Space Suit Contract 6. The Model A-6L Space Suit: Unveiling the First Moon Suit 7. The Model A-7L Space Suit, 1967–1971 8. The Model A-7LB Space Suit: The Next Generation, 1971–1975 Part III. Post-Lunar Missions 9. Skylab, the Apollo-Soyuz Test Program, and Other Development Suits 10. End of a Historic Era Conclusion: Preserving Our Treasures; The Smithsonian National Air and Space Museum Acknowledgments Appendix A: Technical Details of the Apollo Space Suits Appendix B: Apollo Part Numbers and Serial Numbers Appendix C: Apollo Contract Details Appendix D: Astronaut Code Names Appendix E: A-7LB Suit Plug Loads and Fabric Stresses Timeline of Significant Events Glossary Notes Further Reading Index

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Book SynopsisAt last, smaller chemical processing operations have truly easy access to process safety and risk management programs tailored to meet their needs. Written as a "how to" book with checklists, it offers sufficient information for managers of facilities with small chemical operations to implement a process safety program and meet existing regulations.Table of ContentsPreface. Acknowledgments. Acronyms. Chapter 1. Introduction. Chapter 2. Developing Understanding: A Summary of the Risk Management Program Rule. Chapter 3. Developing an RMP Implementation Plan. Chapter 4. Hazard Assessment. Chapter 5. Prevention Program. Chapter 6. Emergency Response. Chapter 7. Developing the Risk Management Plan. Chapter 8. Status of Proposed Revisions to the Rule. Appendix A. Text of the EPA Risk Management Program Rule 40 CFR Part 68. Appendix B. RMP List of Regulated Substances. Appendix C. Text of the OSHA Process Safety Management (PSM) Standard. Appendix D. Comparison of OSHA and EPA Lists of Highly Hazardous Chemicals and Regulated Substances. Appendix E. Example RMPlan-Propane Industry. References. Glossary.

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Book SynopsisProvides detailed information about surface cleaning, finishing, and coating. Includes never-before published articles on testing of coatings and thin films, environmental concerns, and surface engineering of nonmetallic structural materials. There's also expanded analysis of advanced processes such as chemical vapor deposition, physical vapor deposition, and diffusion coatings.

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Book SynopsisVarious systems science and engineering disciplines are covered and challenging new research issues in these disciplines are revealed. They will be extremely valuable for the readers to search for some new research directions and problems.Table of ContentsContributors xxiii Preface xxix I Systems Science are Engineering Methodologies 1 1 A Systems Framework For Sustainability 3Ali G. Hessami, Feng Hsu, are Hamid Jahankhani 1.1 Introduction 3 1.2 A Unified Systems Sustainability Concept 5 1.3 Sustainability Assurance: the Framework 6 1.3.1 Weighted Factors Analysis 6 1.3.2 the Framework 7 1.3.3 the Macro Concept of a Sustainable Architecture (G4.1) 10 1.3.4 the Micro Concept of a Sustainable System 11 1.3.5 A Top-Down Hierarchy of a Multi-Level Sustainability Concept 12 1.4 Technological Sustainability Case Study—Information Systems Security 13 1.4.1 Network Security as a Business Issue 14 1.4.2 the Focus of Investment on Network Security 15 1.5 Conclusions 17 References 18 2 System of Systems Thinking In Policy Development: Challenges are Opportunities 21Keith W. Hipel, Liping Fang, are Michele Bristow 2.1 Introduction 21 2.1.1 A World in Crisis 21 2.1.2 System of Systems 23 2.2 Value Systems are Ethics 26 2.2.1 Conflicting Value Systems 27 2.2.2 Modeling Value Systems 28 2.3 Complex Adaptive Systems 32 2.3.1 Emergent Behavior 32 2.3.2 Modeling Complex Systems 34 2.4 Risk, Uncertainty, are Unpredictability 37 2.4.1 Risk Management 37 2.4.2 Modeling Risk are Adaptation Processes 40 2.5 System of Systems Modeling are Policy Development 42 2.5.1 Global Food System Model 43 2.5.2 Policy Implications 51 2.6 Conclusions 58 References 59 3 Systemic Yoyos: An Intuition are Playground For General Systems Research 71Yi Lin, Yi Dongyun, are Zaiwu Gong 3.1 Introduction 71 3.1.1 the Concept of General Systems 72 3.1.2 A Look at the Success of Calculus-Based Theories 75 3.1.3 Whole Evolution are Yoyo Fields 78 3.2 Theoretical are Empirical Justifications 81 3.2.1 Transitional Changes in Whole Evolutions 81 3.2.2 Quantitative Infinity are Equal Quantitative Effects 83 3.2.3 Fluid Circulation, Informational Infrastructure, are Human Communications 86 3.3 Elementary Properties of Yoyo Fields 91 3.3.1 Eddy are Meridian Fields 91 3.3.2 Interactions Between Systemic Yoyos 94 3.3.3 Laws on State of Motion 98 3.4 Applications in Social Sciences 102 3.4.1 Systemic Structures of Civilizations 102 3.4.2 Systemic Structures Beneath Business Organizations 108 3.4.3 Systemic Structure in Human Mind 109 3.5 Applications in Economics 113 3.5.1 Becker’s Rotten Kid Theorem 113 3.5.2 Interindustry Wage Differentials 117 3.5.3 Price Behaviors of Projects 122 3.6 Applications in the Foundations of Mathematics 127 3.6.1 Historical Crises in the Foundations of Mathematics 128 3.6.2 Actual are Potential Infinities 131 3.6.3 Vase Puzzle are the Fourth Crisis 132 3.7 Applications in Extreme Weather Forecast 137 3.7.1 V-3𝜃 Graphs: A Structural Prediction Method 137 3.7.2 Digitization of Irregular Information 140 3.8 Conclusions 143 References 146 4 Grey System: Thinking, Methods, are Models With Applications 153Sifeng Liu, Jeffrey Y.L. Forrest, are Yingjie Yang 4.1 Introduction 153 4.1.1 Inception are Growth of Grey System Theory 153 4.1.2 Basics of Grey System 155 4.2 Sequence Operators 157 4.2.1 Buffer Operators 158 4.2.2 Generation of Grey Sequences 160 4.2.3 Exponentiality of Accumulating Generations 162 4.3 Grey Incidence Analysis 163 4.3.1 Grey Incidence Factors are Set of Grey Incidence Operators 163 4.3.2 Degrees of Grey Incidences 164 4.3.3 General Grey Incidence Models 165 4.3.4 Grey Incidence Models Based on Similarity and Nearness 167 4.4 Grey Cluster Evaluation Models 168 4.4.1 Grey Incidence Clustering 169 4.4.2 Grey Variable Weight Clustering 169 4.4.3 Grey Fixed Weight Clustering 171 4.4.4 Grey Evaluation Using Triangular Whitenization Functions 172 4.4.5 Practical Applications 175 4.5 Grey Prediction Models 176 4.5.1 GM(1,1) Model 176 4.5.2 Improvements on GM(1,1) Models 177 4.5.3 Applicable Ranges of GM(1,1) Models 180 4.5.4 Discrete Grey Models 180 4.5.5 GM(r,h) Models 182 4.5.6 Grey System Predictions 188 4.6 Grey Models for Decision-Making 193 4.6.1 Grey Target Decisions 193 4.6.2 Multi-Attribute Intelligent Grey Target Decision Models 201 4.7 Practical Applications 202 4.7.1 To Analyze the Time Difference of Economic Indices 202 4.7.2 the Evaluation of Science are Technology Park 206 4.7.3 To Select the Supplier of Key Components of Large Commercial Aircrafts 209 4.8 Introduction to the Software of Grey System Modeling 211 4.8.1 Features are Functions 211 4.8.2 Operation Guide 213 Acknowledgments 220 References 222 5 Building Resilience: Naval Expeditionary Command are Control 225Christopher Nemeth, Thomas Miller, Michael Polidoro, and C. Matthew O’Connor 5.1 Introduction 225 5.2 Expeditionary Operations Command are Control 226 5.2.1 Systems Acquisition 227 5.3 Human-Centered System Development 228 5.3.1 Envisioned World Problem 229 5.3.2 Cognitive Systems Engineering 229 5.3.3 Application: Navy Expeditionary Combat Command 230 5.3.4 Reasonable Scientific Criteria 231 5.4 Discussion 232 5.4.1 Resilience Engineering 232 5.4.2 the Data Hub 234 5.4.3 Implementation Challenges 234 5.4.4 Limitations 234 5.5 Future Work 236 5.5.1 Human Performance Research 236 5.5.2 Transition from Qualitative Research to Design 236 5.5.3 Resilience Engineering 236 5.6 Conclusions 237 Acknowledgments 237 References 237 II Learning are Control 241 6 Advances are Challenges On Intelligent Learning In Control Systems 243Ching-Chih Tsai, Kao-Shing Hwang, Alan Liu, are Chia-Feng Juang 6.1 Introduction 243 6.2 Reinforcement Learning 245 6.2.1 Reinforcement Learning 245 6.2.2 Q-Learning Algorithm 247 6.2.3 Reinforcement Learning in Robots 249 6.2.4 Soccer Robot Behaviors 250 6.2.5 Concluding Remarks 251 6.3 Bio-Inspired Evolutionary Learning Control 252 6.3.1 Bio-Inspired Evolutionary Learning Control 252 6.3.2 Bio-Inspired Evolutionary Robots 253 6.4 Intelligent Learning Control Using Fuzzy Neural Networks 254 6.4.1 Introduction 254 6.4.2 Intelligent Learning Control Using FNNs 255 6.5 Case-Based Reasoning are Learning 257 6.5.1 Case-Based Reasoning Process 257 6.5.2 Case Design are Reuse 257 6.5.3 Hybrid Learning Method Architectures in CBR 258 6.5.4 Applications in Human–Robot Interaction 259 6.6 Conclusions 260 References 261 7 Adaptive Classifiers For Nonstationary Environments 265Cesare Alippi, Giacomo Boracchi, Manuel Roveri, Gregory Ditzler, and Robi Polikar 7.1 Introduction 265 7.2 Definition of the Problem 266 7.3 Learning Concept Drifts 268 7.4 Change Detection 272 7.4.1 Change-Detection Tests: A Review 273 7.4.2 Change-Detection Tests in Adaptive Classifiers 276 7.5 Assessing the Performance: Figures of Merit 278 7.5.1 Raw Classification Accuracy 279 7.5.2 Confusion Matrix 279 7.5.3 Geometric Mean 280 7.5.4 Precision are Recall 280 7.5.5 F-measure 281 7.5.6 Receiver Operator Characteristic Curve are Area Under the Curve 281 7.6 Conclusions 282 References 283 8 Modeling, Analysis, Scheduling, are Control of Cluster Tools In Semiconductor Fabrication 289Nai Qi Wu, Mengchu Zhou, Feng Chu, are Sa¨ıd Mammar 8.1 Introduction 289 8.2 Cluster Tools are Their Operations 290 8.2.1 Architecture of Cluster Tools 290 8.2.2 Wafer Flow Patterns 291 8.2.3 Operation Requirements 294 8.3 Modeling are Performance Evaluation 295 8.3.1 Analysis Based on Timing Diagram Model 295 8.3.2 Analysis Based on Marked Graph 296 8.3.3 Analysis Based on Resource-Oriented Petri Nets 299 8.3.4 Discussion 302 8.4 Single Cluster Tool Scheduling 302 8.4.1 Scheduling with Wafer Residency Time Constraints 302 8.4.2 Scheduling with Both Wafer Residency Constraints and Activity Time Variation 305 8.4.3 Scheduling with Wafer Revisiting 306 8.4.4 Schedule Implementation 307 8.4.5 Discussion 307 8.5 Scheduling of Multi-cluster Tools 308 8.5.1 Deadlock Control are Scheduling of Track Systems 308 8.5.2 Schedule Optimization 309 8.5.3 Discussion 311 8.6 Conclusions 311 References 311 9 Design, Simulation, are Dynamic Control Of Large-Scale Manufacturing Process With Different Forms of Uncertainties 317Hyunsoo Lee are Amarnath Banerjee 9.1 Introduction 317 9.1.1 Issues in Design of Large-Scale Manufacturing Processes 318 9.1.2 Simulation Model for Dynamic Control 320 9.2 Background are Literature Review 322 9.3 Different Types of Uncertainties are FCPN-std 327 9.3.1 Definition of FCPN-std 327 9.3.2 Modular Design are Five-Stage Modeling Methodology 329 9.3.3 Simulation Using FCPN-std 332 9.4 Design of Large-Scale Manufacturing Processes 333 9.5 Dynamic Control of Manufacturing Processes 335 9.6 Conclusions 339 References 340 10 Model Identification are Synthesis of Discrete-Event Systems 343Maria Paola Cabasino, Philippe Darondeau, Maria Pia Fanti, and Carla Seatzu 10.1 Introduction 343 10.2 Background on Finite State Automata are Petri Nets 344 10.2.1 Finite State Automata 344 10.2.2 Petri Nets 346 10.3 Identification are Synthesis of Languages are Finite State Automata 347 10.4 Identification are Synthesis of Petri Nets 349 10.4.1 Synthesis from Graphs 350 10.4.2 Identification are Synthesis from Finite Languages Over T 352 10.4.3 Identification are Synthesis from Finite Languages Over E 355 10.4.4 Related Problems in the PN Framework 360 10.5 Process Mining are Workflow Problems 361 10.6 Conclusions 363 References 363 III Human–Machine Systems Design 367 11 Advances are Challenges In Intelligent Adaptive Interface Design 369Ming Hou, Haibin Zhu, Mengchu Zhou, are Robert Arrabito 11.1 Introduction 369 11.2 Evolution of Interface Technologies are IAI Concept 372 11.2.1 Evolution of Interface Technologies 373 11.2.2 A Conceptual Framework of IAI Systems 377 11.3 Challenges of IAI Design, Alternative Solutions, are Empirical Investigations 381 11.3.1 Challenges of IAI Design 381 11.3.2 User-Centered Design Approach 382 11.3.3 Agent-Based Interface Design Approaches 383 11.3.4 Analytical Methodologies 385 11.3.5 Empirical Investigations 387 11.4 Multiagent-Based Design are Operator–Agent Interaction 389 11.4.1 AIA Concept 389 11.4.2 Operator–Agent Interaction Model 391 11.4.3 Difference Between Human–Human Interaction, Human–Machine Interaction, are Operator–Agent Interaction 393 11.4.4 Optimization of Operator–Agent Interaction 396 11.5 A Generic IAI System Architecture are AIA Components 397 11.5.1 Generic IAI System Architecture 397 11.5.2 AIA Structure 402 11.5.3 Adaptation Processes 403 11.6 An IAI are AIA Design: Case Study 405 11.6.1 Interface Design Requirements for the Control of Multiple UAVs 406 11.6.2 Issues 407 11.6.3 How the IAI Design Method Was Used 407 11.6.4 Task Network Modeling are Simulation 409 11.6.5 AIA Implementation 411 11.6.6 Human-in-the-Loop Experimentation 413 11.6.7 AIA Evaluation 413 11.6.8 Discussions are Implications 413 11.7 Conclusions 415 Acknowledgments 417 References 417 12 A Complex Adaptive System of Systems Approach to Human–Automation Interaction In Smart Grid 425Alireza Fereidunian, Hamid Lesani, Mohammad Ali Zamani, Mohamad Amin Sharifi Kolarijani, Negar Hassanpour, are Sina Sharif Mansouri 12.1 Introduction 425 12.2 Complexity in Systems Science are Engineering 426 12.2.1 the Nature of Complexity 426 12.2.2 Complex Systems 429 12.2.3 Complexity Measures 431 12.2.4 Complexity-Related Terms in Literature 433 12.3 Complex Adaptive Systems 436 12.3.1 What are Complex Adaptive Systems? 436 12.3.2 Characteristics of Complex Adaptive Systems 437 12.4 System of Systems 442 12.4.1 Necessity are Definition 442 12.4.2 Characteristics of System of Systems 444 12.4.3 System of Systems Types 448 12.4.4 A Taxonomy of Systems Family 448 12.5 Complex Adaptive System of Systems 453 12.6 Human–Automation Interaction 454 12.6.1 Automation 454 12.6.2 HAI: Where Humans Interact with Automation 455 12.6.3 HAI are Function Allocation 456 12.6.4 Evolution of HAI Models: Dimensions 457 12.6.5 Evolution of HAI Models: Dynamism 458 12.6.6 Adaptive Autonomy Implementation 460 12.7 HAI in Smart Grid as a Casos 462 12.7.1 Smart Grid 462 12.7.2 HAI in Smart Grid as a CAS 465 12.7.3 HAI in Smart Grid as an SoS 467 12.8 Petri Nets for Complex Systems Modeling 467 12.8.1 Definition 468 12.8.2 Graph Representation of Petri Nets 468 12.8.3 Transition Firing 469 12.8.4 Reachability 470 12.8.5 Incidence Matrix are State Equation 470 12.8.6 Inhibitor Arc 470 12.8.7 IF–THEN Rules by Petri Net 470 12.9 Model-Based Implementation of Adaptive Autonomy 471 12.9.1 the Implementation Framework 471 12.9.2 Case Study: Adaptive Autonomy in Smart Grid 472 12.10 Adaptive Autonomy Realization Using Petri Nets 473 12.10.1 Implementation Methodology 473 12.10.2 Realization of AAHPNES 475 12.10.3 Results are Discussions 482 12.11 Conclusions 483 Acknowledgments 485 References 485 13 Virtual Training For Procedural Skills Development: Case Studies are Lessons Learnt 501Dawei Jia, Asim Bhatti, are Saeid Nahavandi 13.1 Introduction 501 13.2 Related Work 502 13.2.1 Background 502 13.2.2 Human Side of VT System Efficacy—Issues and Concerns 503 13.3 Present Study 505 13.3.1 Motivation are Aims 505 13.3.2 System Architecture are Human–Machine Interface 506 13.3.3 Measures 508 13.4 Case Study 1 509 13.4.1 Method 509 13.4.2 Results 511 13.4.3 Discussion 515 13.5 Case Study 2 516 13.5.1 Method 516 13.5.2 Results 519 13.5.3 Discussion 524 13.6 Lessons Learnt are Future Work 527 13.6.1 Training Design are Method 527 13.6.2 Measurement Methods 528 13.6.3 Prior Experience with a Force-Reflective Haptic Interface 530 13.6.4 Future Work 531 13.7 Conclusions 531 References 532 14 Computer Supported Collaborative Design: Technologies, Systems, are Applications 537Weiming Shen, Jean-Paul Barthés, are Junzhou Luo 14.1 Introduction 537 14.2 History of Computer Supported Collaborative Design 538 14.2.1 CSCD 538 14.2.2 CSCD Eve: 1980s 539 14.2.3 CSCD Emergence: 1990s 541 14.2.4 CSCD: Today 542 14.3 Methods, Techniques, are Technologies 542 14.3.1 Communication, Coordination, are Cooperation 542 14.3.2 Negotiation are Conflict Resolution 546 14.3.3 Ontology are Semantic Integration 548 14.3.4 Personal Assistance are Human–Machine Interaction 548 14.3.5 Collaborative Workflows 550 14.3.6 Collaborative Virtual Workspaces are Environments 552 14.3.7 New Representation Schemes for Collaborative Design 552 14.3.8 New Visualization Systems for Collaborative Design 553 14.3.9 Product Data Management are Product Lifecycle Management Systems 553 14.3.10 Security are Privacy 554 14.4 Collaborative Design Systems 555 14.4.1 System Architectures 555 14.4.2 Web-Based/Centralized Systems 557 14.4.3 Agent-Based/Distributed Systems 558 14.4.4 Service-Oriented Systems 558 14.4.5 Collaborative Design Over Supply Chain (Virtual Enterprise) 559 14.5 Applications 560 14.6 Research Challenges are Opportunities 561 14.7 Conclusions 564 References 564 15 Support Collaboration With Roles 575Haibin Zhu, Mengchu Zhou, are Ming Hou 15.1 Introduction 575 15.2 Benefits of Roles in Collaboration 577 15.2.1 Establishing Trust in Collaboration 577 15.2.2 Establishing Dynamics 578 15.2.3 Facilitating Interaction 580 15.2.4 Support Adaptation 582 15.2.5 Information Sharing 583 15.2.6 Other Benefits 585 15.3 Role-Based Collaboration 585 15.4 E-Cargo Model 590 15.5 A Case Study with RBC are E-Cargo 592 15.6 Conclusions 595 References 595 IV Cloud are Service-Oriented Computing 599 16 Control-Based Approaches to Dynamic Resource Management In Cloud Computing 601Pengcheng Xiong, Calton Pu, Zhikui Wang, are Gueyoung Jung 16.1 Introduction 601 16.1.1 Public Cloud Computing 602 16.1.2 Dynamic Resource Management: Control-Based Approaches 602 16.2 Experimental Setup are Application Models 603 16.2.1 Test Bed are Control Architecture for a Multi-Tier Application 604 16.2.2 System Models for the Application: Open or Closed 606 16.3 Dynamic Resource Allocation Through Utilization Control 607 16.3.1 Design of Experiments 607 16.3.2 Performance of the Application Under Control 608 16.4 Performance Guarantee Through Dynamic Resource Allocation 612 16.5 Conclusions 614 References 615 17 A Petri Net Solution to Protocol-Level Mismatches In Service Composition 619Pengcheng Xiong, Mengchu Zhou, Calton Pu, are Yushun Fan 17.1 Introduction 619 17.1.1 Interface Mismatches 621 17.1.2 Protocol-Level Mismatches 622 17.2 Modeling Service Interaction with Petri Nets 624 17.2.1 Basic Petri Nets 624 17.2.2 Model Web Service Interaction with C-Net 627 17.3 Protocol-Level Mismatch Analysis 630 17.3.1 Protocol-Level Mismatch Detection 630 17.3.2 Core Algorithm 632 17.3.3 Comprehensive Solution to Protocol-Level Mismatch 634 17.4 Illustrating Examples 636 17.5 Conclusions 638 References 641 18 Service-Oriented Workflow Systems 645Wei Tan are Mengchu Zhou 18.1 Introduction 645 18.2 Workflow in SOC: State of the Art 647 18.2.1 Languages for Service Composition 647 18.2.2 Automatic Service Composition 649 18.2.3 Mediation-Aided Service Composition 649 18.2.4 Verification of Service Workflows 650 18.2.5 Decentralized Execution of Workflows 651 18.3 Open Issues 652 18.3.1 Social Network Meets Service Computing 652 18.3.2 More Practical are Flexible Service Composition 652 18.3.3 Workflow as a Service 653 18.3.4 Novel Applications 654 18.4 Conclusions 656 References 657 V Sensing, Networking, are Optimization In Robotics are Manufacturing 661 19 Rehabilitation Robotic Prostheses For Upper Extremity 663Han-Pang Huang, Yi-Hung Liu, Wei-Chen Lee, Jiun-Yih Kuan, and Tzu-Hao Huang 19.1 Introduction 663 19.2 Rehabilitation Robot Arm are Control 664 19.2.1 Mechanism Design 666 19.2.2 Dynamic Model of an Individual Joint 669 19.2.3 LTR-Observer-Based Individual Joint Dynamic Sliding Mode Control with Gravity Compensation 671 19.2.4 Simulation of the NTU Rehabilitation Robot Arm II 676 19.2.5 Experimental Results for the NTU Rehabilitation Robot Arm II 677 19.3 Rehabilitation Robot Hand 678 19.4 Stability of Neuroprosthesis 683 19.4.1 SVDD-Based Target EMG Pattern Estimation 685 19.4.2 Nontarget EMG Pattern Filtering Scheme 686 19.4.3 Illustrative Example 688 19.5 Conclusions 691 References 692 20 Accelerometer-Based Body Sensor Network (Bsn) For Medical Diagnosis Assessment are Training 699Ming-Yih Lee, Kin Fong Lei, Wen-Yen Lin, Wann-Yun Shieh, Wen-Wei Tsai, Simon H. Fu, are Chung-Hsien Kuo 20.1 Introduction 699 20.2 Body Sensor Network 700 20.3 Information Retrieved from Accelerometer 702 20.4 Recent Advances in Accelerometer-Based BSN 703 20.4.1 Tilting Angle Identification 703 20.4.2 Muscle Strength Identification 706 20.4.3 Gait Performance Identification 708 20.5 Applications of Accelerometer-Based BSN for Rehabilitation 711 20.5.1 Human Stability Evaluation System 711 20.5.2 Postural Stability Evaluation for Stroke Patients 712 20.5.3 Postural Stability Training for Stroke Patients 713 20.6 BSN Simulation System 715 20.7 Conclusions 718 References 719 21 Telepresence Robots For Medical are Homecare Applications 725Jun-Ming Lu are Yeh-Liang Hsu 21.1 Introduction 725 21.2 Surgery, Diagnosis, are Consultation 727 21.3 Rehabilitation are Therapy 728 21.4 Monitoring are Assistance 728 21.5 Communication 729 21.6 Key Factors Contributing to the Success of Telepresence Robots 729 21.6.1 Robot Factors of Acceptance 729 21.6.2 Human Factors of Acceptance 731 21.6.3 Summary 732 21.7 Conclusions 732 References 732 22 Advances In Climbing Robots 737Jizhong Xiao are Hongguang Wang 22.1 Introduction 737 22.2 Technologies for Adhering to Surfaces 738 22.2.1 Magnetic Adhesion 739 22.2.2 Vacuum Suction Techniques 740 22.2.3 Aerodynamic Attraction 744 22.2.4 Grasping Grippers 748 22.2.5 Bio-Mimetic Approaches Inspired by Climbing Animals 749 22.2.6 Emerging Technologies for Climbing Robots 753 22.3 Locomotion Techniques of Climbing Robots 755 22.4 Conclusions 759 Acknowledgment 760 References 760 23 Data Processing In Current 3D Robotic Perception Systems 767Cang YE 23.1 Introduction 767 23.1.1 Stereovision 767 23.1.2 LIDAR 769 23.1.3 Flash LIDAR Camera (FLC) 770 23.2 An LIDAR-Based Terrain Mapping are Navigation System 771 23.2.1 Overview of the Mapping are Navigation System 772 23.2.2 Terrain Mapping 773 23.2.3 Terrain Traversability Analysis 776 23.2.4 PTI Histogram for Path Planning 777 23.2.5 Experimental Results 779 23.3 FLC-Based Systems 781 23.3.1 VR-Odometry 782 23.3.2 Three-Dimensional Data Segmentation 787 23.4 Conclusions 791 Acknowledgments 792 References 792 24 Hybrid/Electric Vehicle Battery Manufacturing: The State-Of-The-Art 795Claudia P. Arenas Guerrero, Feng Ju, Jingshan Li, Guoxian Xiao, and Stephan Biller 24.1 Introduction 795 24.2 Vehicle Battery Requirements 796 24.3 Hybrid, Plug-In Hybrid, are Electric Vehicle 797 24.3.1 Hybrid Electric Vehicle 797 24.3.2 Plug-In Hybrid Electric Vehicle 797 24.3.3 Electric Vehicle 798 24.4 Battery Technology Development 798 24.5 Nickel-Metal Hydride Battery 799 24.5.1 NiMH Battery Manufacturing 800 24.5.2 NiMH Batteries in Commercial Vehicles 800 24.5.3 Cost 801 24.5.4 Recycling 801 24.6 Lithium-Ion (Li-Ion) Battery 802 24.6.1 Lithium Technology 802 24.6.2 Manufacturing Processes 803 24.6.3 Li-Ion Batteries in Commercial Vehicles 807 24.6.4 Safety 808 24.6.5 Cost 809 24.6.6 Environmental Issues 809 24.6.7 Recycling 809 24.7 Challenges 810 24.8 Conclusions 812 References 812 25 Recent Advances are Issues In Facility Location Problems 817Feng Chu, Zhanguo Zhu, are Saïıd Mammar 25.1 Introduction 817 25.2 A Capacitated Plant Location Problem with Multicommodity Flow 819 25.2.1 Problem Description 819 25.2.2 Problem Formulation 819 25.3 A Multitype Transshipment Point Location Problem with Multicommodity Flow 821 25.3.1 Problem Description 821 25.3.2 Problem Formulation 822 25.4 A Large Scale New Variant of Capacitated Clustering Problem 824 25.4.1 Problem Description 824 25.4.2 Problem Formulation 825 25.5 A Location Problem with Selective Matching are Vehicles Assignment 826 25.5.1 Problem Description 826 25.5.2 Problem Formulation 826 25.6 Competitive Facility Location are Design with Reactions of Competitors Already in the Market 828 25.6.1 Problem Description 829 25.6.2 Problem Formulation 829 25.7 Conclusions are Future Research Directions 831 References 832 Index 835

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Book SynopsisPraise for the first edition: This excellent text will be useful to every system engineer (SE) regardless of the domain.It covers ALL relevant SE material and does so in a very clear, methodical fashion.The breadth and depth of the author''s presentation of SE principles and practices is outstanding.Philip Allen This textbook presents a comprehensive, step-by-step guide to System Engineering analysis, design, and development via an integrated set of concepts, principles, practices, and methodologies. The methods presented in this text apply to any type of human system -- small, medium, and large organizational systems and system development projects delivering engineered systems or services across multiple business sectors such as medical, transportation, financial, educational, governmental, aerospace and defense, utilities, political, and charity, among others. Provides a common focal point for bridging the gap between and unifying SyTable of ContentsForeword xv Preface to The Second Edition xvii About The Companion Website xxi Introduction—How to Use This Text xxiii 1 Systems Engineering and Systems Engineering 1 1.1 Definitions of Key Terms 2 1.2 Approach to this Chapter 2 1.3 What is a System? 3 1.4 Learning to Recognize Types of Systems 7 1.5 What is SE? 8 1.6 System Versus Systems Engineering 12 1.7 SE: Historical Notes 13 1.8 Systems Thinking and SE 13 1.9 Chapter Summary 15 1.10 Chapter Exercises 15 1.11 References 16 2 The Evolving State of SE Practice-Challenges and Opportunities 17 2.1 Definitions of Key Terms 19 2.2 Approach to this Chapter 20 2.3 The State of SE and System Development Performance 20 2.4 Understanding the Problem: Root Cause Analysis 24 2.5 Industry Government Academic Professional and Standards Organizations Solutions 27 2.6 Defining the Problem 32 2.7 Engineering Education Challenges and Opportunities 42 2.8 Chapter Summary 43 2.9 Chapter Exercises 46 2.10 References 46 Part I System Engineering and Analysis Concepts 49 3 System Attributes Properties and Characteristics 51 3.1 Definition of Key Terms 51 3.2 Analytical Representation of a System 53 3.3 System Stakeholders: User and End User Roles 55 3.4 System Attributes 56 3.5 System Properties 56 3.6 System Characteristics 60 3.7 The System’s State of Equilibrium and the Balance of Power 61 3.8 System/Product Life Cycle Concepts 64 3.9 System Acceptability: Challenges for Achieving Success 71 3.10 Chapter Summary 74 3.11 Chapter Exercises 74 3.12 References 75 4 User Enterprise Roles Missions and System Applications 76 4.1 Definitions of Key Terms 76 4.2 Approach to this Chapter 77 4.3 User Roles and Missions 78 4.4 Understanding and Defining User Missions 83 4.5 Understanding the User’s Problem Opportunity and Solution Spaces 88 4.6 Chapter Summary 97 4.7 Chapter Exercises 97 4.8 References 98 5 User Needs Mission Analysis Use Cases and Scenarios 99 5.1 Definitions of Key Terms 100 5.2 Approach to this Chapter 101 5.3 Commercial/Consumer Product Versus Contract System Development 101 5.4 User Operational Needs Identification 103 5.5 Mission Analysis 107 5.6 Mission Operational Effectiveness 114 5.7 Defining Mission and System UCs and Scenarios 117 5.8 Chapter Summary 127 5.9 Chapter Exercises 127 5.10 References 128 6 System Concepts Formulation and Development 129 6.1 Definitions of Key Terms 129 6.2 Conceptualization of System Operations 131 6.3 The System Operations Model 131 6.4 Formulating and Developing the System Concepts 138 6.5 Chapter Summary 144 6.6 Chapter Exercises 145 6.7 References 145 7 System Command and Control (C2) - Phases Modes and States of Operation 147 7.1 Definitions of Key Terms 148 7.2 Approach to this Chapter 149 7.3 System Phases of Operation 150 7.4 Introduction to System Modes and States 151 7.5 Enterprise Perspective—Engineered System States 154 7.6 Engineering Perspective—Modes and States 157 7.7 Applying Phases Modes and States of Operation 168 7.8 Modes and States Constraints 169 7.9 Chapter Summary 172 7.10 Chapter Exercises 172 7.11 References 173 8 System Levels of Abstraction Semantics and Elements 174 8.1 Definitions of Key Terms 174 8.2 Establishing and Bounding the System’s Context 175 8.3 System Levels of Abstraction and Semantics 176 8.4 System Decomposition Versus Integration Entity Relationships 181 8.5 Logical–Physical Entity Relationship (ER) Concepts 183 8.6 Architectural System Element Concepts 186 8.7 Chapter Summary 196 8.8 Chapter Exercises 196 8.9 References 197 9 Architectural Frameworks of the SOI and Its Operating Environment 198 9.1 Definitions of Key Terms 198 9.2 Approach to this Chapter 199 9.3 Introduction to the SOI Architecture 199 9.4 Understanding the OE Architecture 201 9.5 Other Architectural Frameworks 209 9.6 Understanding The System Threat Environment 209 9.7 SOI Interfaces 211 9.8 Chapter Summary 218 9.9 Chapter Exercises 218 9.10 References 218 10 Modeling Mission System and Enabling System Operations 219 10.1 Definitions of Key Terms 219 10.2 Approach to this Chapter 219 10.3 The System Behavioral Response Model 220 10.4 System Command & Control (C2) Interaction Constructs 221 10.5 Modeling System Control Flow and Data Flow Operations 225 10.6 Modeling Mission System and Enabling System Operations 230 10.7 Modeling an Operational Capability 235 10.8 Nested Operational Cycles 241 10.9 Model-Based Systems Engineering (MBSE) 241 10.10 Chapter Summary 243 10.11 Chapter Exercises 243 10.12 References 243 11 Analytical Problem-Solving and Solution Development Synthesis 245 11.1 Definitions of Key Terms 245 11.2 Part I: System Engineering and Analysis Concepts Synthesis 245 11.3 Shifting to a New Systems Engineering Paradigm 246 11.4 The Four Domain Solutions Methodology 248 11.5 Chapter Summary 251 11.6 References 254 Part II System Engineering and Development Practices 255 12 Introduction to System Development Strategies 257 12.1 Definitions of Key Terms 258 12.2 Approach to this Chapter 259 12.3 System Development Workflow Strategy 260 12.4 Multi-Level Systems Design and Development Strategy 262 12.5 Chapter Summary 268 12.6 Chapter Exercises 268 12.7 References 269 13 System Verification and Validation (V&V) Strategy 270 13.1 Definitions of Key Terms 270 13.2 Approach to this Chapter 272 13.3 System V&V Concepts Overview 275 13.4 System Verification Practices 278 13.5 System Validation Practices 283 13.6 Applying V&V to the System Development Workflow Processes 285 13.7 Independent Verification & Validation (IV&V) 290 13.8 Chapter Summary 291 13.9 Chapter Exercises 292 13.10 References 292 14 The Wasson Systems Engineering Process 293 14.1 Definitions of Key Terms 293 14.2 Approach to this Chapter 294 14.3 Evolution of SE Processes 294 14.4 The Wasson SE Process Model 296 14.5 Wasson SE Process Model Characteristics 306 14.6 Application of the Wasson SE Process Model 310 14.7 The Strength of the Wasson SE Process Model 311 14.8 Chapter Summary 311 14.9 Chapter Exercises 312 14.10 References 312 15 System Development Process Models 313 15.1 Definitions of Key Terms 314 15.2 Introduction to the System Development Models 315 15.3 Waterfall Development Strategy and Model 316 15.4 “V” System Development Strategy and Model 318 15.5 Spiral Development Strategy and Model 322 15.6 Iterative and Incremental Development Model 324 15.7 Evolutionary Development Strategy and Model 325 15.8 Agile Development Strategy and Model 326 15.9 Selection of System Versus Component Development Models 341 15.10 Chapter Summary 342 15.11 Chapter Exercises 342 15.12 References 342 16 System Configuration Identification and Component Selection Strategy 344 16.1 Definitions of Key Terms 345 16.2 Items: Building Blocks of Systems 347 16.3 Understanding Configuration Identification Semantics 347 16.4 Configuration Item (CI) Implementation 352 16.5 Developmental Configuration Baselines 355 16.6 Component Selection and Development 358 16.7 Vendor Product Semantics 359 16.8 Component Selection Methodology 360 16.9 Driving Issues that Influence COTS/NDI Selection 361 16.10 Chapter Summary 363 16.11 Chapter Exercises 363 16.12 References 364 17 System Documentation Strategy 365 17.1 Definitions of Key Terms 366 17.2 Quality System and Engineering Data Records 366 17.3 System Design and Development Data 367 17.4 Data Accession List (DAL) and Data Criteria List (DCL) 368 17.5 SE and Development Documentation Sequencing 369 17.6 Documentation Levels of Formality 370 17.7 Export Control of Sensitive Data and Technology 371 17.8 System Documentation Issues 373 17.9 Chapter Summary 374 17.10 Chapter Exercises 374 17.11 References 375 18 Technical Reviews Strategy 376 18.1 Definitions of Key Terms 376 18.2 Approach to this Chapter 378 18.3 Technical Reviews Overview 378 18.4 Conduct of Technical Reviews 380 18.5 Contract Review Requirements 381 18.6 In-Process Reviews (IPRs) 383 18.7 Contract Technical Reviews 384 18.8 Chapter Summary 395 18.9 Chapter Exercises 395 18.10 References 396 19 System Specification Concepts 397 19.1 Definitions of Key Terms 397 19.2 What is a Specification? 398 19.3 Attributes of a Well-Defined Specification 400 19.4 Types of Specifications 403 19.5 Key Elements of a Specification 405 19.6 Specification Requirements 408 19.7 Chapter Summary 413 19.8 Chapter Exercises 413 19.9 References 414 20 Specification Development Approaches 415 20.1 Definitions of Key Terms 415 20.2 Approach to this Chapter 416 20.3 Introduction to Specification Development 416 20.4 Specification Development Approaches 420 20.5 Special Topics 426 20.6 Specification Reviews 426 20.7 Chapter Summary 428 20.8 Chapter Exercises 428 20.9 Reference 428 21 Requirements Derivation Allocation Flow Down and Traceability 429 21.1 Definitions of Key Terms 429 21.2 Approach to this Chapter 430 21.3 Introduction to Requirements Derivation Allocation Flowdown & Traceability 430 21.4 Requirements Derivation Methods 436 21.5 Requirements Derivation and Allocation Across Entity Boundaries 436 21.6 Requirements Allocation 438 21.7 Requirements Traceability 439 21.8 Technical Performance Measures (TPMs) 442 21.9 Chapter Summary 445 21.10 Chapter Exercises 445 21.11 References 445 22 Requirements Statement Development 446 22.1 Definition of Key Terms 446 22.2 Approach to this Chapter 446 22.3 Introduction to Requirements Statement Development 447 22.4 Preparing the Requirement Statement 449 22.5 Selection of Requirement Verification Methods 453 22.6 Requirements Traceability and Verification Tools 456 22.7 Requirements Statement Development Guidelines 459 22.8 When Does a Requirement Become “Official”? 462 22.9 Chapter Summary 462 22.10 Chapter Exercises 464 22.11 References 464 23 Specification Analysis 465 23.1 Definition of Key Terms 465 23.2 Analyzing Existing Specifications 466 23.3 Specification Assessment Checklist 467 23.4 Specification Analysis Methods 471 23.5 Specification Deficiencies Checklist 472 23.6 Resolution of Specification COI/CTI Issues 476 23.7 Requirements Compliance 477 23.8 Chapter Summary 478 23.9 Chapter Exercises 478 23.10 References 479 24 User-Centered System Design (UCSD) 480 24.1 Definitions of Key Terms 481 24.2 Approach to this Chapter 483 24.3 Introduction to UCSD 484 24.4 Understanding Human Factors (HF) and Ergonomics 493 24.5 Situational Assessment: Areas of Concern 509 24.6 Complex System Development 512 24.7 SE HF and Ergonomics Actions 512 24.8 Chapter Summary 514 24.9 Chapter Exercises 515 24.10 References 515 25 Engineering Standards of Units Coordinate Systems and Conventions 518 25.1 Definitions of Key Terms 518 25.2 Approach to this Chapter 519 25.3 Engineering Standards 520 25.4 Standards for Units Weights and Measures 520 25.5 Coordinate Reference Systems 522 25.6 Defining a System’s Free Body Dynamics 534 25.7 Applying Engineering Standards and Conventions 538 25.8 Engineering Standards and Conventions Lessons Learned 538 25.9 Chapter Summary 540 25.10 Chapter Exercises 540 25.11 References 541 26 System and Entity Architecture Development 542 26.1 Definitions of Key Terms 542 26.2 Approach to this Chapter 543 26.3 Introduction to System Architecture Development 544 26.4 Development of System Architectures 554 26.5 Advanced System Architecture Topics 559 26.6 Chapter Summary 572 26.7 Chapter Exercises 573 26.8 References 574 27 System Interface Definition Analysis Design and Control 575 27.1 Definitions of Key Terms 576 27.2 Approach to this Chapter 576 27.3 Interface Ownership Work Products and Control Concepts 577 27.4 Interface Definition Methodology 583 27.5 Interface Design—Advanced Topics 588 27.6 Interface Definition and Control Challenges and Solutions 592 27.7 Chapter Summary 597 27.8 Chapter Exercises 598 27.9 References 598 28 System Integration Test and Evaluation (SITE) 599 28.1 Definitions of Key Terms 599 28.2 SITE Fundamentals 601 28.3 Key Elements of Site 604 28.4 Planning for Site 610 28.5 Establishing the Test Organization 612 28.6 Developing Test Cases (TCs) and Acceptance Test Procedures (ATPs) 613 28.7 Performing SITE Tasks 614 28.8 Common Integration and Test Challenges and Issues 617 28.9 Chapter Summary 621 28.10 Chapter Exercises 621 28.11 References 622 29 System Deployment OM&S Retirement and Disposal 623 29.1 Definitions of Key Terms 624 29.2 Approach to this Chapter 625 29.3 System Deployment Operations 626 29.4 System Operation Maintenance & Sustainment (OM&S) 638 29.5 System Retirement (Phase-Out) Operations 645 29.6 System Disposal Operations 646 29.7 Chapter Summary 646 29.8 Chapter Exercises 646 29.9 References 647 Part III Analytical Decision Support Practices 649 30 Introduction to Analytical Decision Support 651 30.1 Definitions of Key Terms 651 30.2 What is Analytical Decision Support? 652 30.3 Attributes of Technical Decisions 652 30.4 Types of Engineering Analyses 654 30.5 System Performance Analysis and Evaluation 654 30.6 Statistical Influences on System Design 659 30.7 Chapter Summary 664 30.8 General Exercises 665 30.9 References 665 31 System Performance Analysis Budgets and Safety Margins 666 31.1 Definitions of Key Terms 667 31.2 Performance “Design-To” Budgets and Safety Margins 667 31.3 Analyzing System Performance 672 31.4 Real-Time Control and Frame-Based Systems 679 31.5 System Performance Optimization 679 31.6 System Analysis Reporting 680 31.7 Chapter Summary 680 31.8 Chapter Exercises 680 31.9 References 681 32 Trade Study Analysis of Alternatives (AoA) 682 32.1 Definitions of Key Terms 682 32.2 Introduction to Multivariate Analysis of Alternatives (AoA) 683 32.3 Chartering a Trade Study 688 32.4 Establishing the Trade Study Methodology 689 32.5 Trade Study Quantitative Approaches 690 32.6 Trade Study Utility or Scoring Functions 695 32.7 Sensitivity Analysis 696 32.8 Trade Study Reports (TSRs) 696 32.9 Trade Study Decision 697 32.10 Trade Study Risk Areas 699 32.11 Trade Study Lessons Learned 701 32.12 Chapter Summary 701 32.13 Chapter Exercises 701 32.14 References 701 33 System Modeling and Simulation (M&S) 703 33.1 Definitions of Key Terms 704 33.2 Technical Decision-Making Aids 705 33.3 Simulation-Based Models 705 33.4 Application Examples of M&S 709 33.5 M&S Challenges and Issues 717 33.6 Chapter Summary 719 33.7 Chapter Exercises 719 33.8 References 720 34 System Reliability Maintainability and Availability (RMA) 721 34.1 Definitions of Key Terms 722 34.2 Approach to this Chapter 723 34.3 System Reliability 725 34.4 Understanding System Maintainability 768 34.5 System Availability 779 34.6 Optimizing RMA Trade-Offs 781 34.7 Reliability-Centered Maintenance (RCM) 783 34.8 System RMA Challenges 788 34.9 Chapter Summary 789 34.10 Chapter Exercises 789 34.11 References 790 Epilog 792 Appendix A Acronyms and Abbreviations 795 Appendix B INCOSE Handbook Traceability 801 Appendix C System Modeling Language (SysML™) Constructs 811 Index 821

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Book SynopsisFree Mathematica 10 Update Included! Now available from www.wiley.com/go/magrab Updated material includes:- Creating regions and volumes of arbitrary shape and determining their properties: arc length, area, centroid, and area moment of inertia- Performing integrations, solving equations, and determining the maximum and minimum values over regions of arbitrary shape- Solving numerically a class of linear second order partial differential equations in regions of arbitrary shape using finite elements An Engineer''s Guide to Mathematica enables the reader to attain the skills to create Mathematica 9 programs that solve a wide range of engineering problems and that display the results with annotated graphics. This book can be used to learn Mathematica, as a companion to engineering texts, and also as a reference for obtaining numerical and symbolic solutions to a wide range of engineTable of ContentsPreface xiii Table of Engineering Applications xvii Part 1 Introduction 1 Mathematica Environment and Basic Syntax 3 1.1 Introduction 3 1.2 Selecting Notebook Characteristics 4 1.3 Notebook Cells 8 1.4 Delimiters 12 1.5 Basic Syntax 12 1.5.1 Introduction 12 1.5.2 Templates: Greek Symbols and Mathematical Notation 15 1.5.3 Variable Names and Global Variables 18 1.6 Mathematical Constants 19 1.7 Complex Numbers 21 1.8 Elementary, Trigonometric, Hyperbolic, and a Few Special Functions 22 1.9 Strings 25 1.9.1 String Creation: StringJoin[] and ToString[] 25 1.9.2 Labeled Output: Print[], NumberForm[], EngineeringForm[], and TraditionalForm[] 26 1.10 Conversions, Relational Operators, and Transformation Rule 28 1.11 Engineering Units and Unit Conversions: Quantity[] and UnitConvert[] 30 1.12 Creation of CDF Documents and Documents in Other Formats 33 1.13 Functions Introduced in Chapter 1 34 Exercises 35 2 List Creation and Manipulation: Vectors and Matrices 39 2.1 Introduction 39 2.2 Creating Lists and Vectors 39 2.2.1 Introduction 39 2.2.2 Creating a List with Table[] 45 2.2.3 Summing Elements of a List: Total[] 46 2.2.4 Selecting Elements of a List 47 2.2.5 Identifying List Elements Matching a Pattern: Position[] 49 2.3 Creating Matrices 51 2.3.1 Introduction 51 2.3.2 Matrix Generation Using Table[] 54 2.3.3 Accessing Elements of Arrays 55 2.4 Matrix Operations on Vectors and Arrays 56 2.4.1 Introduction 56 2.4.2 Matrix Inverse and Determinant: Inverse[] and Det[] 57 2.5 Solution of a Linear System of Equations: LinearSolve[] 58 2.6 Eigenvalues and Eigenvectors: EigenSystem[] 59 2.7 Functions Introduced in Chapter 2 61 References 61 Exercises 61 3 User-Created Functions, Repetitive Operations, and Conditionals 69 3.1 Introduction 69 3.2 Expressions and Procedures as Functions 69 3.2.1 Introduction 69 3.2.2 Pure Function: Function[] 74 3.2.3 Module[] 78 3.3 Find Elements of a List that Meet a Criterion: Select[] 80 3.4 Conditionals 82 3.4.1 If[] 82 3.4.2 Which[] 83 3.5 Repetitive Operations 83 3.5.1 Do[] 83 3.5.2 While[] 83 3.5.3 Nest[] 84 3.5.4 Map[] 84 3.6 Examples of Repetitive Operations and Conditionals 85 3.7 Functions Introduced in Chapter 3 92 Exercises 92 4 Symbolic Operations 95 4.1 Introduction 95 4.2 Assumption Options 101 4.3 Solutions of Equations: Solve[] 101 4.4 Limits: Limit[] 105 4.5 Power Series: Series[], Coefficient[], and CoefficientList[] 108 4.6 Optimization: Maximize[]/Minimize[] 112 4.7 Differentiation: D[] 114 4.8 Integration: Integrate[] 120 4.9 Solutions of Ordinary Differential Equations: DSolve[] 126 4.10 Solutions of Partial Differential Equations: DSolve[] 136 4.11 Laplace Transform: LaplaceTransform[] and InverseLaplaceTransform[] 138 4.12 Functions Introduced in Chapter 4 145 References 145 Exercises 146 5 Numerical Evaluations of Equations 151 5.1 Introduction 151 5.2 Numerical Integration: NIntegrate[] 151 5.3 Numerical Solutions of Differential Equations: NDSolveValue[] and ParametricNDSolveValue[] 154 5.4 Numerical Solutions of Equations: NSolve[] 178 5.5 Roots of Transcendental Equations: FindRoot[] 180 5.6 Minimum and Maximum: FindMinimum[] and FindMaximum[] 182 5.7 Fitting of Data: Interpolation[] and FindFit[] 186 5.8 Discrete Fourier Transforms and Correlation: Fourier[], InverseFourier[], and ListCorrelate[] 189 5.9 Functions Introduced in Chapter 5 194 References 195 Exercises 196 6 Graphics 209 6.1 Introduction 209 6.2 2D Graphics 209 6.2.1 Basic Plotting 209 6.2.2 Basic Graph Enhancements 213 6.2.3 Common 2D Shapes: Graphics[] 217 6.2.4 Additional Graph Enhancements 222 6.2.5 Combining Figures: Show[] and GraphicsGrid[] 238 6.2.6 Tooltip[] 241 6.2.7 Exporting Graphics 244 6.3 3D Graphics 244 6.4 Summary of Functions Introduced in Chapter 6 253 References 254 Exercises 254 7 Interactive Graphics 263 7.1 Interactive Graphics: Manipulate[] 263 References 287 Exercises 287 Part 2 Engineering Applications 8 Vibrations of Spring–Mass Systems and Thin Beams 293 8.1 Introduction 293 8.2 Single Degree-of-Freedom Systems 294 8.2.1 Periodic Force on a Single Degree-of-Freedom System 294 8.2.2 Squeeze Film Damping and Viscous Fluid Damping 298 8.2.3 Electrostatic Attraction 302 8.2.4 Single Degree-of-Freedom System Energy Harvester 304 8.3 Two Degrees-of-Freedom Systems 307 8.3.1 Governing Equations 307 8.3.2 Response to Harmonic Excitation: Amplitude Response Functions 307 8.3.3 Enhanced Energy Harvester 310 8.4 Thin Beams 315 8.4.1 Natural Frequencies and Mode Shapes of a Cantilever Beam with In-Span Attachments 315 8.4.2 Effects of Electrostatic Force on the Natural Frequency and Stability of a Beam 318 8.4.3 Response of a Cantilever Beam with an In-Span Attachment to an Impulse Force 323 References 326 9 Statistics 327 9.1 Descriptive Statistics 327 9.1.1 Introduction 327 9.1.2 Location Statistics: Mean[], StandardDeviation[], and Quartile[] 327 9.1.3 Continuous Distribution Functions: PDF[] and CDF[] 329 9.1.4 Histograms and Probability Plots: Histogram[] and ProbabilityScalePlot [] 331 9.1.5 Whisker Plot: BoxWhiskerChart[] 332 9.1.6 Creating Data with Specified Distributions: RandomVariate[] 334 9.2 Probability of Continuous Random Variables 334 9.2.1 Probability for Different Distributions: NProbability[] 334 9.2.2 Inverse Cumulative Distribution Function: InverseCDF[] 337 9.2.3 Distribution Parameter Estimation: EstimatedDistribution[] and FindDistributionParameters[] 337 9.2.4 Confidence Intervals: ⋯CI[] 340 9.2.5 Hypothesis Testing: LocationTest[] and VarianceTest[] 342 9.3 Regression Analysis: LinearModelFit[] 343 9.3.1 Simple Linear Regression 343 9.3.2 Multiple Linear Regression 347 9.4 Nonlinear Regression Analysis: NonLinearModelFit[] 351 9.5 Analysis of Variance (ANOVA) and Factorial Designs: ANOVA[] 354 9.6 Functions Introduced in Chapter 9 358 10 Control Systems and Signal Processing 359 10.1 Introduction 359 10.2 Model Generation: State-Space and Transfer Function Representation 359 10.2.1 Introduction 359 10.2.2 State-Space Models: StateSpaceModel[] 360 10.2.3 Transfer Function Models: TransferFunctionModel[] 362 10.3 Model Connections – Closed-Loop Systems and System Response: SystemsModelFeedbackConnect[] and SystemsModelSeriesConnect[] 363 10.4 Design Methods 369 10.4.1 Root Locus: RootLocusPlot[] 369 10.4.2 Bode Plot: BodePlot[] 371 10.4.3 Nichols Plot: NicholsPlot[] 372 10.5 Signal Processing 374 10.5.1 Filter Models: ButterworthFilterModel[], EllipticFilterModel[], ... 374 10.5.2 Windows: HammingWindow[], HannWindow[], ... 381 10.5.3 Spectrum Averaging 385 10.6 Aliasing 388 10.7 Functions Introduced in Chapter 10 390 Reference 391 11 Heat Transfer and Fluid Mechanics 393 11.1 Introduction 393 11.2 Conduction Heat Transfer 394 11.2.1 One-Dimensional Transient Heat Diffusion in Solids 394 11.2.2 Heat Transfer in Concentric Spheres: Ablation of a Tumor 398 11.2.3 Heat Flow Through Fins 401 11.3 Natural Convection Along Heated Plates 405 11.4 View Factor Between Two Parallel Rectangular Surfaces 408 11.5 Internal Viscous Flow 411 11.5.1 Laminar Flow in Horizontal Cylindrical Pipes 411 11.5.2 Flow in Three Reservoirs 412 11.6 External Flow 416 11.6.1 Pressure Coefficient of a Joukowski Airfoil 416 11.6.2 Surface Profile in Nonuniform Flow in Open Channels 419 References 423 Index 425

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Book SynopsisAn introductory text on the investigation of industrial accidents Forensic engineering should be seen as a rigorous approach to the discovery of root causes that lead to an accident or near-miss. The approach should be suitable to identify both the immediate causes as well as the underlying factors that affected, amplified, or modified the events in terms of consequences, evolution, dynamics, etc., as well as the contribution of an eventual human error. This book is a concise and introductory volume to the forensic engineering discipline which helps the reader to recognize the link among those important, very specialized aspects of the same problem in the global strategy of learning from accidents (or near-misses). The reader will benefit from a single point of access to this very large, technical literature that can be only correctly understood with the right terms, definitions, and links in mind. Keywords: Presents simple (real) cases, as well as giving an overview of more compTable of ContentsForeword by Giomi xiii Foreword by Chiaia xv Foreword by Tee xvii Preface xix Acknowledgement xxi List of Acronyms xxiii 1 Introduction 1 1.1 Who Should ReadThis Book? 1 1.2 Going Beyond theWidget! 2 1.3 Forensic Engineering as a Discipline 5 References 7 Further Reading 7 2 Industrial Accidents 9 2.1 Accidents 9 2.1.1 Principles of Combustion 14 2.1.1.1 Flammable Gases and Vapors 17 2.1.1.2 Flammable Liquids 21 2.1.1.3 The Ignition 22 2.1.2 Fires 23 2.1.3 Explosions 27 2.1.4 Incidental Scenarios 33 2.2 Near Misses 39 2.3 Process Safety 40 2.3.1 Management of Safety 41 2.4 The Importance of Accidents 47 2.4.1 Seveso disaster 48 2.4.2 Bhopal Disaster 51 2.4.3 Flixborough Disaster 55 2.4.4 Deepwater Horizon Drilling Rig Explosion 58 2.4.5 San Juanico Disaster 60 2.4.6 Buncefield Disaster 64 2.5 Performance Indicators 68 2.6 The Role of ‘Uncertainty’ and ‘Risk’ 72 References 75 Further reading 78 3 What is Accident Investigation?What is Forensic Engineering?What is Risk Assessment?Who is the Forensic Engineer and what is his Role? 79 3.1 Investigation 79 3.2 Forensic Engineering 87 3.3 Legal Aspects 91 3.4 Ethic Issues 95 3.5 Insurance Aspects 96 3.6 Accident Prevention and Risk Assessment 98 3.6.1 “What-if ” Analysis 100 3.6.2 Hazard and Operability Analysis (HAZOP) & Hazard Identification (HAZID) 101 3.6.3 Failure Modes and Effects Analysis (FMEA) 105 3.7 Technical Standards 105 References 112 Further Reading 113 4 The Forensic EngineeringWorkflow 115 4.1 TheWorkflow 115 4.2 Team and Planning 118 4.3 Preliminary and Onsite Investigation (Collecting the Evidence) 124 4.3.1 Sampling 127 4.3.1.1 Selection of the Sample 127 4.3.1.2 Collection of the Sample 128 4.3.1.3 Packaging of the Sample 129 4.3.1.4 Sealing the Packaging 130 4.4 Sources and Type of Evidence to be Considered 130 4.4.1 People 133 4.4.1.1 Conducting the Interview 136 4.4.2 Paper Documentation 138 4.4.3 Digital Documentation and Electronic Data 140 4.4.3.1 An Example about the Value of Digital Evidence 141 4.4.4 Physical Evidence 145 4.4.5 Position Data 146 4.4.6 Photographs 147 4.4.6.1 The Collection of the Photographs 148 4.4.6.2 Photograph Cataloguing 150 4.5 Recognise the Evidence 152 4.5.1 Short Case Studies 155 4.5.1.1 Explosion of Flour at the Mill of Cordero in Fossano 156 4.5.1.2 Explosion at the Pettinatura Italiana Plant 157 4.5.1.3 Explosion of the Boiler of the SISAS Plant of Pioltello 160 4.5.1.4 Explosion of the Steam Generator of the Plant Enichem Synthesis at Villadossola 163 4.5.1.5 Aluminium Dust Explosion at Nicomax in Verbania 163 4.6 Organize the Evidence 166 4.7 Conducting the Investigation and the Analysis 168 4.7.1 Method of the Conic Spiral 172 4.7.2 Evidence Analysis 173 4.8 Reporting and Communication 175 References 180 Further Reading 182 5 Investigation Methods 183 5.1 Causes and Causal Mechanism Analysis 183 5.2 Time and Events Sequence 192 5.2.1 STEP Method 196 5.3 Human Factor 199 5.3.1 Human Error 204 5.3.2 Analysis of Operative Instructions andWorking Procedures 208 5.4 Methods 212 5.4.1 Expert Judgment and Brainstorming 213 5.4.2 Structured Methods and Approaches 214 5.4.2.1 Pre-structured Methods 218 5.4.2.2 Barrier-based Systematic Cause Analysis Technique (BSCATTM) 222 5.4.2.3 Tripod Beta 228 5.4.2.4 Barrier Failure Analysis (BFA) 232 5.4.2.5 Root Cause Analysis (RCA) 238 5.4.2.6 QRA derived tools 253 References 263 Further Reading 266 6 Derive Lessons 267 6.1 Pre and Post Accident Management 267 6.2 Develop Recommendations 274 6.2.1 An Application of Risk Analysis to Choose the Best Corrective Measure 284 6.3 Communication 290 6.4 Safety (and Risk) Management and Training 296 6.5 Organization Systems and Safety Culture 298 6.6 Behavior-based Safety (BBS) 303 6.7 Understanding Near-misses and Treat Them 304 References 307 Further Reading 308 7 CaseStudies 309 7.1 Jet Fire at a Steel Plant 309 7.1.1 Introduction 309 7.1.2 How it Happened (Incident Dynamics) 310 7.1.3 Why it Happened 314 7.1.4 Findings 321 7.1.5 Lessons Learned and Recommendations 322 7.1.6 Forensic Engineering Highlights 326 7.1.7 References and Further Readings 328 7.2 Fire on Board a Ferryboat 329 7.2.1 Introduction 329 7.2.2 How it Happened (Incident Dynamics) 330 7.2.3 Why it Happened 330 7.2.4 Findings 338 7.2.5 Lessons Learned and Recommendations 342 7.2.6 Forensic Engineering Highlights 342 7.2.6.1 The Discharge Activity and the Evidence Collection 342 7.2.6.2 Use of and Issues Regarding Digital Evidences 345 7.2.6.3 Expected Performances of the Installed DigitalMemories 348 7.2.6.4 The VDR (Voyage Data Recorder) System 348 7.2.6.5 Data Extraction from the “Black Box” (i.e.: FRM Module) 350 7.2.6.6 Analysis and Use of Extracted Data 351 7.2.6.7 Documentation Analysis of the Fire Detection System 352 7.2.7 References and Further Readings 354 7.3 LOPC of Toxic Substance at a Chemical Plant 354 7.3.1 Introduction 354 7.3.2 How it Happened (Incident Dynamics) 354 7.3.3 Why it Happened 355 7.3.4 Findings 358 7.3.5 Lessons Learned and Recommendations 363 7.3.6 Forensic Engineering Highlights 364 7.4 Refinery’s Pipeway Fire 366 7.4.1 Introduction 366 7.4.2 How it Happened (Incident Dynamics) 367 7.4.3 Why it Happened 371 7.4.4 Findings 373 7.4.5 Lessons Learned and Recommendations 375 7.4.6 Forensic Engineering Highlights 378 7.4.7 References and Further Readings 379 7.5 Flash Fire at a Lime Furnace Fuel Storage Silo 381 7.5.1 Introduction 381 7.5.2 How it Happened (Incident Dynamics) 382 7.5.3 Why it Happened 385 7.5.4 Findings 388 7.5.5 Lessons Learned and Recommendations 388 7.5.6 Forensic Engineering Highlights 388 7.5.7 Further Readings 388 7.6 Explosion of a Rotisserie Van Oven Fueled by an LPG System 389 7.6.1 Introduction 389 7.6.2 How it Happened (Incident Dynamics) 390 7.6.3 Why it Happened 394 7.6.4 Findings 398 7.6.5 Lessons Learned and Recommendations 399 7.6.6 Forensic Engineering Highlights 399 7.6.7 Further Readings 406 7.7 Fragment Projection inside a Congested Process Area 407 7.7.1 Introduction 407 7.7.2 How it Happened (Incident Dynamics) 408 7.7.3 Why it Happened 408 7.7.4 Findings 409 7.7.4.1 Collection of Evidences and Data 410 7.7.4.2 Initial Plate Velocity and Box Deformation 410 7.7.4.3 Development of a Piping Damage Criteria 415 7.7.4.4 Evaluation of Damages 421 7.7.4.5 Results for Impacts for Some Pipes 421 7.7.4.6 FI-BLAST© Adaptation to Perform a Parametric Study 422 7.7.4.7 Results of the Parametric Study 426 7.7.5 Lessons Learned and Recommendations 427 7.7.6 Forensic Engineering Highlights 428 7.7.7 References and Further Readings 429 7.8 Refinery Process Unit Fire 429 7.8.1 Introduction 429 7.8.2 How it Happened (Incident Dynamics) 429 7.8.3 Why it Happened 433 7.8.4 Findings 435 7.8.4.1 Examination of the Effects of the Fire 437 7.8.4.2 Water and Foam Consumption 438 7.8.4.3 Damages 438 7.8.5 Lessons Learned and Recommendations 438 7.8.6 Forensic Engineering Highlights 439 7.8.7 References and Further Readings 448 7.9 Crack in an Oil Pipeline 449 7.9.1 Introduction 449 7.9.2 How it Happened (Accident Dynamics) 450 7.9.3 Why it Happened 453 7.9.4 Experimental Campaign on the Pipeline Segment 453 7.9.5 Findings 457 7.9.6 Lessons Learned and Recommendations 460 7.9.7 Forensic Engineering Highlights 462 7.9.8 References and Further Readings 463 7.10 Storage Building on Fire 463 7.10.1 Introduction 463 7.10.2 How it Happened (Accident Dynamics) 464 7.10.3 Why it Happened 464 7.10.4 Findings 465 7.10.5 Lessons Learned and Recommendations 466 7.10.6 Forensic Engineering Highlights 467 7.10.7 Further Readings 467 8 Conclusions and Recommendations 469 References 471 9 A Look Into the Future 473 References 476 A Principles on Probability 477 A.1 Basic Notions on Probability 477 Index 479

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Book SynopsisExplores how we judge engineering education in order to effectively redesign courses and programs that will prepare new engineers for various professional and academic careers Shows how present approaches to assessment were shaped and what the future holds Analyzes the validity of teaching and judging engineering education Shows the integral role that assessment plays in curriculum design and implementation Examines the sociotechnical system's impact on engineering curricula Table of ContentsPreface xiii Acknowledgments xv 1 Prologue 1 1.1 General Introduction: The Functions of Assessment 1 1.2 Health Warning: Ambiguities in the Use of the Term “Assessment” 6 1.3 The Assessment of Persons for the Professions 8 1.4 The Engineering Profession 10 1.5 The Development of Higher and Engineering Education as Areas of Academic Study in the 1960s 12 1.6 Assumptions About Examinations: Reliability 12 1.7 Myths Surrounding Examinations 14 1.8 The Introduction of Coursework Assessment 17 1.9 Rethinking Validity 19 1.10 Wastage (Dropout): The Predictive Value of School Examinations for Satisfactory Performance in Higher Education 20 1.11 Factors Influencing Performance in College Courses 22 1.12 Assessment: Results and Accountability 25 1.13 Assessing the Learner 26 Notes 27 References 27 2 Assessment and the Preparation of Engineers for Work 35 2.1 Engineers at Work 36 2.2 An Alternative Approach to the Education and Training of Engineers for Industry 37 2.3 Toward an Alternative Curriculum for Engineering 42 2.4 Creativity in Engineering and Design 43 2.5 Furneaux’s Study of a University’s Examinations in First-Year Mechanical Engineering: The Argument for “Objectives” 48 2.6 Discussion 51 Notes 53 References 54 3 The Development of a Multiple-Objective (Strategy) Examination and Multidimensional Assessment and Evaluation 61 3.1 The Development of an Advanced Level Examination in Engineering Science (For 17/18-Year-Old High School Students): The Assessment of Achievement and Competency 62 3.2 Skills Involved in Writing Design Proposals and Practical Laboratory Work 72 3.3 A Balanced System of Assessment 74 3.4 Pictures of the Curriculum Process 75 3.5 Multidimensional Assessment and Evaluation: A Case Study 79 3.6 Discussion 83 Notes 84 References 85 4 Categorizing the Work Done by Engineers: Implications for Assessment and Training 89 4.1 Introduction 90 4.2 A Study of Engineers at Work in a Firm in the Aircraft Industry 91 4.3 The Application of The Taxonomy of Educational Objectives to the Task Analysis of Managers in a Steel Plant 96 4.4 The Significance of Interpersonal Competence 96 4.5 A Comparative Study of British and German Production Engineers (Managers) 101 4.6 Engineering Knowledge 103 4.7 Discussion 105 Notes 105 References 107 5 Competency-Based Qualifications in the United Kingdom and United States and Other Developments 111 5.1 The Development of Competency-Based Vocational Qualifications in the United Kingdom 112 5.2 Outcomes Approaches in High Schools in the United Kingdom 115 5.3 Standards in Schools in the United States 116 5.4 Education for Capability: Capability vs. Competence 117 5.5 Ability (Assessment)-Led Curricula: The Alverno College Model 119 5.6 The Enterprise in Higher Education Initiative in the United Kingdom and the SCANS Report in the United States 122 5.7 The College Outcome Measures Program 125 5.8 Discussion 127 Notes 130 References 130 6 The Impact of Accreditation 133 6.1 ABET, European Higher Education Area (Bologna Process), and the Regulation of the Curriculum 134 6.2 Taxonomies 135 6.3 Outcomes-Based Engineering Education 142 6.4 Mastery Learning and Personalized Systems of Instruction 147 6.5 Discussion 152 References 152 7 Student Variability: The Individual the Organization, and Evaluation 157 7.1 Introduction 158 7.2 Learning and Teaching Styles 161 7.3 Study Habits/Strategies 163 7.4 Intellectual Development 165 7.5 Critical Thinking 168 7.6 The Assessment of Development 172 7.7 The Reflective Practitioner 174 7.8 Adaptive Expertise 180 7.9 Discussion 181 Notes 182 References 183 8 Emotional Intelligence, Peer and Self-Assessment, Journals and Portfolios, and Learning-How-to-Learn 189 8.1 Introduction 190 8.2 Emotional Intelligence 191 8.3 Self- and Peer Assessment 193 8.4 Learning Journals and Portfolios 206 8.5 Learning-How-to-Learn 209 8.6 Discussion 210 Note 211 References 211 9 Experiential Learning, Interdisciplinarity, Projects, and Teamwork 217 9.1 Introduction 218 9.2 Project Work as a Vehicle for Integrated Learning and Interdisciplinarity 219 9.3 Learning to Collaborate 220 9.4 Constructive Controversy 224 9.5 Communication Teamwork ,and Collegial Impediments to the Development of Good Engineering Practice 225 9.6 The Demand for Skill in Innovation: Can It Be Taught? 227 9.7 Creativity Teamwork and Reflective Practice (See Also Section 2.4) 228 9.8 Can Teamwork Be Taught? 229 9.9 Discussion 235 References 236 10 Competencies 241 10.1 Introduction 242 10.2 The Iowa Studies (ISU) 244 10.3 The Outcomes Approach in Australia Europe, and Elsewhere 246 10.4 The CDIO Initiative 247 10.5 A Standards-Based Approach to the Curriculum 248 10.6 Recent European Studies 252 10.7 Impact of Subjects (Courses) on Person-Centered Interventions 255 10.8 The Potential for Comparative Studies: Choosing Competencies 256 10.9 Expressive Outcomes 258 10.10 Discussion 259 References 260 11 “Outside” Competency 265 11.1 Introduction 266 11.2 Accidental Competencies 267 11.3 Understanding Competence at Work 269 11.4 Contextual Competence 270 11.5 A Post-Technician Cooperative Apprenticeship 272 11.6 Theories of Competence Development in Adult Life 275 11.7 Discussion 278 Notes 279 References 280 12 Assessment, Moral Purpose and Social Responsibility 283 12.1 Introduction 283 12.2 Moral Purpose and the Power of Grading 284 12.3 From Reliability to Validity: Toward a Philosophy of Engineering Education 284 12.4 Screening the Aims of Engineering Education 285 12.5 The Role of Educational Institutions in the Preparation for Industry (the Development of Professional Skills) 287 12.6 The Role of Industry in Professional Development 289 12.7 Assessment and the Curriculum 290 12.8 Changing Patterns in the Workforce the Structure of Higher Education 291 12.9 Lifelong Education and Credentialing 293 12.10 Conclusion 295 Notes 297 References 298 A A Quick Guide to the Changing Terminology in the Area of “Assessment” 301 A.1 Objectives and Outcomes 301 A.2 Assessment and Evaluation 307 References 308 B Extracts from the Syllabus and Notes for the Guidance of Schools for GCE Engineering Science (Advanced) 1972 Joint Matriculation Board Manchester 311 B. 1 Extract 1 (pp. 2–6) 311 B. 2 Extract 2 (p. 9) 317 B. 3 Extract 3 (pp. 13–16) 318 Author Index 325 Subject Index 339

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Book SynopsisTable of ContentsPreface iii Acknowledgments vii 1 Engineers and Writing 1 Engineers Write a Lot 2 Engineers Write Many Kinds of Documents 2 Successful Engineering Careers Require Strong Writing Skills 4 Engineers Can Learn to Write Well 5 Noise and the Communication Process 5 Controlling the Writing System 7 Exercises 8 Check Your Understanding 8 Engineering Communication Challenge 9 2 Eliminating Sporadic Noise in Engineering Writing 10 Spelling and Spell Checkers 10 Punctuation 11 Traditional Sentence Errors 18 Technical Usage 24 Edit, Edit, Edit, 31 Exercises 32 Check Your Understanding 32 Engineering Communication Challenge 34 3 Guidelines for Writing Noise-Free Engineering Documents 35 Focus on Why You are Writing 35 Focus on Your Readers 36 Satisfy Document Specifications 37 Get to the Point 38 Provide Accurate Information 39 Present Your Material Logically 39 Explain the Technical to Nonspecialists 40 Make Your Ideas Accessible 41 Use Efficient Wording 45 Format Your Pages Carefully 50 Express Yourself Clearly 52 Manage Your Time Efficiently 56 Edit at Different Levels 57 Share the Load: Write as a Team 58 Exercises 59 Check Your Understanding 60 Engineering Communication Challenge 61 4 Letters Memoranda Email and Other Media for Engineers 62 Which to Use? 62 Writing Style for Business Correspondence 64 Communication Strategies for Tricky Situations 65 Business Letters: Components and Format 66 Business Memoranda 70 Email: Functions, Style, Format 72 New Internet Media 73 Exercises 75 Check Your Understanding 76 Engineering Communication Challenge 77 5 Writing Common Engineering Documents 78 Some Preliminaries 79 Inspection and Trip Reports 80 Research, Laboratory, and Field Reports 81 Specifications 84 Proposals 87 Progress Reports 90 Instructions 93 Recommendation Reports 96 Exercises 100 Check Your Understanding 101 Engineering Communication Challenge 102 6 Writing Research and Design Reports 103 Engineering Research Reports 103 Engineering Design Reports 111 General Report Design and Format 114 Generating Portable Document Files 116 Using CMS and Other Applications for Team Reports 117 Exercises 118 Check Your Understanding 119 Engineering Communication Challenge 120 7 Constructing Engineering Tables and Graphics 121 Tables 121 Charts and Graphs 124 Illustrations 126 Graphics and Tables: Guidelines 126 Exercises 127 Check Your Understanding 127 Engineering Communication Challenge 128 8 Accessing Engineering Information 129 Basic Search Strategies 129 Sources of Engineering Information 132 Internet Engineering Information Resources 145 Internet Search Tools 147 Exercises 148 Check Your Understanding 148 Engineering Communication Challenge 149 9 Engineering Your Speaking 150 Preparing the Presentation 150 Delivering The Presentation 159 Presenting as a Team 163 Checklist for Oral Presentations 164 Listening to Presentations 165 The Importance of Informal Communication 166 Exercises 166 Check Your Understanding 167 Engineering Communication Challenge 167 10 Writing to Get an Engineering Job 168 How to Write an Engineering Résumé 168 How to Write an Application Letter 179 How to Write a Follow-Up Letter 188 Exercises 189 Check Your Understanding 190 Engineering Communication Challenge 191 11 Ethics and Documentation in Engineering Writing 192 Engineering Ethics 192 The Ethics of Honest Research 197 Exercises 203 Check Your Understanding 203 Engineering Communication Challenge 204 12 Engineering Your Online Reputation 205 Introduction to Social Media Management 205 Creating a Wordpress Blog 206 Building a Facebook Page for a Business 209 Using Twitter to Connect and Share Information 213 Generating Your Interactive Résumé on LinkedIn 215 Check Your Understanding 218 Engineering Communication Challenge 219 Index 221

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Book Synopsis

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Book SynopsisMASTER AND INTEGRATE THE GEOMETRY AND MECHANICS OF RAILROAD VEHICLE SYSTEM ENGINEERING WITH ONE PRACTICAL RESOURCEMathematical Foundation of Railroad Vehicle Systems: Geometry and Mechanics delivers a comprehensive treatment of the mathematical foundations of railroad vehicle systems. The book includes a strong emphasis on the integration of geometry and mechanics to create an accurate and accessible formulation of nonlinear dynamic equations and general computational algorithms that can be effectively used in the virtual prototyping, analysis, design, and performance evaluation of railroad vehicle systems. Using basic concepts, formulations, and computational algorithms, including mechanics-based approaches like the absolute nodal coordinate formulation (ANCF), readers will understand how to integrate the geometry and mechanics of railroad vehicle systems. The book also discusses new problems and issues in this area and describes how geometric and mechanical approaches can be used in derailment investigations. Mathematical Foundation of Railroad Vehicle Systems covers:The mathematical foundation of railroad vehicle systems through the integration of geometry and mechanics Basic concepts, formulations, and computational algorithms used in railroad vehicle system dynamics New mechanics-based approaches, like the ANCF, and their use to achieve an integration of geometry and mechanics Use of geometry and mechanics to study derailments New problems and issues in the area of railroad vehicle systemsDesigned for researchers and practicing engineers who work with railroad vehicle systems, Mathematical Foundation of Railroad Vehicle Systems: Geometry and Mechanics can also be used in senior undergraduate and graduate mechanical, civil, and electrical engineering programs and courses.Table of ContentsPreface ix 1 Introduction 1 1.1 Differential Geometry 4 1.2 Integration of Geometry and Mechanics 9 1.3 Hunting Oscillations 14 1.4 Wheel and Track Geometries 17 1.5 Centrifugal Forces and Balance Speed 22 1.6 Contact Formulations 26 1.7 Computational MBS Approaches 28 1.8 Derailment Criteria 33 1.9 High-Speed Rail Systems 36 1.10 Linear Algebra and Book Notations 41 2 Differential Geometry 45 2.1 Curve Geometry 46 2.2 Surface Geometry 54 2.3 Application to Railroad Geometry 57 2.4 Surface Tangent Plane and Normal Vector 60 2.5 Surface Fundamental Forms 62 2.6 Normal Curvature 69 2.7 Principal Curvatures and Directions 72 2.8 Numerical Representation of the Profile Geometry 76 2.9 Numerical Representation of Surface Geometry 78 3 Motion and Geometry Descriptions 83 3.1 Rigid-Body Kinematics 84 3.2 Direction Cosines and Simple Rotations 86 3.3 Euler Angles 88 3.4 Euler Parameters 91 3.5 Velocity and Acceleration Equations 95 3.6 Generalized Coordinates 97 3.7 Kinematic Singularities 100 3.8 Euler Angles and Track Geometry 102 3.9 Angle Representation of the Curve Geometry 107 3.10 Euler Angles as Field Variables 108 3.11 Euler-Angle Description of the Track Geometry 111 3.12 Geometric Motion Constraints 114 3.13 Trajectory Coordinates 119 4 Railroad Geometry 125 4.1 Wheel Surface Geometry 126 4.2 Wheel Curvatures and Global Vectors 132 4.3 Semi-analytical Approach for Rail Geometry 135 4.4 ANCF Rail Geometry 142 4.5 ANCF Interpolation of Rail Geometry 145 4.6 ANCF Computation of Tangents and Normal 146 4.7 Track Geometry Equations 148 4.8 Numerical Representation of Track Geometry 152 4.9 Track Data 155 4.10 Irregularities and Measured Track Data 162 4.11 Comparison of the Semi-Analytical and ANCF Approaches 169 5 Contact Problem 175 5.1 Wheel/Rail Contact Mechanism 177 5.2 Constraint Contact Formulation (CCF) 183 5.3 Elastic Contact Formulation (ECF) 184 5.4 Normal Contact Forces 187 5.5 Contact Surface Geometry 188 5.6 Contact Ellipse and Normal Contact Force 194 5.7 Creepage Definitions 199 5.8 Creep Force Formulations 203 5.9 Creep Force and Wheel/Rail Contact Formulations 213 5.10 Maglev Forces 219 6 Equations of Motion 225 6.1 Newtonian and Lagrangian Approaches 226 6.2 Virtual Work Principle and Constrained Dynamics 227 6.3 Summary of Rigid-Body Kinematics 232 6.4 Inertia Forces 235 6.5 Applied Forces 239 6.6 Newton–Euler Equations 241 6.7 Augmented Formulation and Embedding Technique 244 6.8 Wheel/Rail Constraint Contact Forces 254 6.9 Wheel/Rail Elastic Contact Forces 259 6.10 Other Force Elements 261 6.11 Trajectory Coordinates 268 6.12 Longitudinal Train Dynamics (LTD) 274 6.13 Hunting Stability 280 6.14 MBS Modeling of Electromechanical Systems 288 7 Pantograph/Catenary Systems 291 7.1 Pantograph/Catenary Design 292 7.2 ANCF Catenary Kinematic Equations 298 7.3 Catenary Inertia and Elastic Forces 304 7.4 Catenary Equations of Motion 306 7.5 Pantograph/Catenary Contact Frame 308 7.6 Constraint Contact Formulation (CCF) 310 7.7 Elastic Contact Formulation (ECF) 314 7.8 Pantograph/Catenary Equations and MBS Algorithms 317 7.9 Pantograph/Catenary Contact Force Control 321 7.10 Aerodynamic Forces 322 7.11 Pantograph/Catenary Wear 324 Appendix Contact Equations and Elliptical Integrals 329 A.1 Derivation of the Contact Equations 329 A.2 Elliptical Integrals 332 Bibliography 335 Index 355

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Book SynopsisTable of ContentsForeword xv Preface xvii About the Companion Website xxi 1 Introduction 1 2 An Example: The Scalable Observation and Rescue System 5 3 Better Products – The Value of Systems Architecting 9 3.1 The Share of Systems Architecting in Making Better Products 9 3.2 Benefits that can be Achieved 10 3.2.1 Benefit for the Customer 10 3.2.2 Benefit for the Organization 12 3.3 Benefits that can be Communicated Inside the Organization 14 3.4 Beneficial Elements of Systems Architecting 15 3.5 Benefits of Model-Based Systems Architecting 16 4 Systems, Systems of Systems, and Cyber-Physical Systems 17 4.1 Definition of “System” 17 4.1.1 System Elements 19 4.1.2 System Context 20 4.1.3 System Characteristics 21 4.1.4 Purpose 22 4.1.5 System Evolution 23 4.2 Definition of “System of Systems” 23 4.3 Definition of “Cyber-Physical System” 26 4.4 Composition of a “Cyber-Physical System of Systems” 27 5 Definition of System Architecture 31 5.1 What Is Architecture? – Discussion of Some Existing Definitions 31 5.2 Relations Between Concepts of “System,” “Architecture,” and “Architecture Description” 33 5.3 Definition of “Architecture” 35 5.3.1 Interactions 36 5.3.2 Principles 37 5.3.3 Architecture Decisions 37 5.4 Functional and Physical Architecture 37 5.5 Taxonomy of Physical Architectures 39 5.5.1 Logical Architecture 40 5.5.2 Product Architecture 41 5.5.3 Base Architecture 41 5.6 Architecture Landscape for Systems 41 5.6.1 System Architecture 42 5.6.2 System Design 43 5.6.3 Discipline-Specific Architecture and Design 44 6 Model-Based Systems Architecting 45 7 Model Governance 51 7.1 Overview 51 7.2 Model Governance in Practice 52 8 Architecture Description 57 8.1 Architecture Descriptions for Stakeholders 58 8.2 Definition of “Architecture Description” 60 8.2.1 Architecture Viewpoints 62 8.2.2 Architecture Views 65 8.2.3 Architecture Decisions 67 8.2.4 Architecture Rationales 69 8.3 How to Get Architecture Descriptions? 69 8.3.1 Model-Based Vision 69 8.3.2 Forms and Templates 71 9 Architecture Patterns and Principles 75 9.1 The SYSMOD Zigzag Pattern 76 9.2 The Base Architecture 82 9.3 Cohesion and Coupling 85 9.4 Separation of Definition, Usage, and Run-Time 87 9.5 Separate Stable from Unstable Parts 89 9.6 The Ideal System 89 9.7 View and Model 90 9.8 Diagram Layout 92 9.9 System Model Structure 93 9.10 System Architecture Principles 95 9.11 Heuristics 95 9.11.1 Heuristics as a Tool for the System Architect 95 9.11.2 Simplify, Simplify, Simplify: Strength and Pitfall 97 10 Model-Based Requirements Engineering and Use Case Analysis 99 10.1 Requirement and Use Case Definitions 99 10.2 Model-Based Requirements and Use Case Analysis from the MBSA Viewpoint 102 10.2.1 Identify and Define Requirements 103 10.2.2 Specify the System Context 104 10.2.3 Identify Use Cases 105 10.2.4 Describe Use Case Flows 109 10.2.5 Model the Domain Knowledge 110 10.3 The SAMS Method 112 10.3.1 SAMS Method Definitions 113 10.3.2 SAMS Method 114 10.4 Use Cases 2.0 117 11 Perspectives, Viewpoints and Views in System Architecture 119 11.1 Introduction 119 11.2 The Functional Perspective 121 11.2.1 SysML Modeling of Functional Blocks 123 11.2.2 Architecture Views for the System Architect 124 11.2.3 Different Architecture Views for the Stakeholders of Different Functions 124 11.3 The Physical Perspective 125 11.3.1 Logical Architecture Example 126 11.3.2 Product Architecture Example 127 11.4 The Behavioral Perspective 130 11.5 The Layered Perspective 130 11.5.1 The Layered Approach 130 11.5.2 The Layered Perspective in Systems Architecting 132 11.5.3 Relation to the Domain Knowledge Model 134 11.5.4 Architecting the Layers 136 11.5.5 SysML Modeling of Layers 136 11.6 System Deployment Perspective 142 11.7 Other Perspectives 144 11.8 Relation to the System Context 146 11.8.1 Validity of the System Boundary 146 11.8.2 Using the System Context as a Part of the Stakeholder-Specific Views 146 11.8.3 Special System Context View for Verification 147 11.9 Mapping Different System Elements Across Different Levels 148 11.9.1 Functional-to-Physical Perspective Mapping 149 11.9.2 Mapping More Perspectives 153 11.9.3 Mapping Different Levels 153 11.10 Traceability 155 11.11 Perspectives and Architecture Views in Model-based Systems Architecting 155 11.11.1 Creating Different Architecture Views in a Model-Based Approach 155 11.11.2 Using SysML for Working with Different Perspectives and Architecture Views 157 11.11.3 The Importance of Architecture Viewpoints in Model-Based Systems Architecting 159 12 Typical Architecture Stakeholders 161 12.1 Overview 161 12.2 Requirements Engineering 162 12.3 Verification 163 12.4 Configuration Management 166 12.5 Engineering and Information Technology Disciplines 167 12.6 Project and Product Management 171 12.7 Risk Managers 174 12.8 Development Roadmap Planners 174 12.9 Production and Distribution 177 12.10 Suppliers 178 12.11 Marketing and Brand Management 178 12.12 Management 180 13 Roles 185 13.1 Roles 185 13.2 The System Architect Role 186 13.2.1 Objective 186 13.2.2 Responsibilities 186 13.2.3 Tasks 187 13.2.4 Competences 188 13.2.5 Required Skills of a System Architect 188 13.2.6 Required Skills for Model-Based Systems Architecting 190 13.3 System Architecture Teams 190 13.4 System Architecture Stakeholders 192 13.5 Recruiting System Architecture People 192 13.6 Talent Development for System Architects 194 14 Processes 199 14.1 Systems Architecting Processes 199 14.1.1 Overview 199 14.1.2 Example of Generic Process Steps 201 14.1.3 Example of Concrete Process Steps 202 14.1.4 Validation, Review, and Approval in a Model-Based Environment 203 14.2 Design Definition Process 207 14.3 Change and Configuration Management Processes 207 14.4 Other Processes Involving the System Architect 207 15 Tools for the Architect 209 16 Agile Approaches 213 16.1 The History of Iterative–Incremental Approaches 214 16.1.1 Project Mercury (NASA, 1958) 214 16.1.2 The New New Product Development Game (1986) 215 16.1.3 Boehm’s Spiral Model (1988) 216 16.1.4 Lean (1945 Onwards) 217 16.1.5 Dynamic Systems Development Method (DSDM, 1994) 219 16.1.6 Scrum (1995) 220 16.2 The Manifesto for Agile Software Development (2001) 221 16.3 Agile Principles in Systems Engineering 223 16.3.1 Facilitate Face-to-Face Communication 223 16.3.2 Create a State of Confidence 224 16.3.3 Build Transdisciplinary and Self-Organized Teams 225 16.3.4 Create a Learning Organization 225 16.3.5 Design, but No Big Design (Up-Front) 226 16.3.6 Reduce Dependencies 227 16.3.7 Foster a Positive Error Culture 228 16.4 Scaling Agile 228 16.5 System Architects in an Agile Environment 230 17 The FAS Method 233 17.1 Motivation 234 17.2 Functional Architectures for Systems 236 17.3 How the FAS Method Works 239 17.4 FAS Heuristics 242 17.5 FAS with SysML 244 17.5.1 Identifying Functional Groups 244 17.5.2 Modeling the Function Structure 246 17.5.3 Modeling the Functional Architecture 249 17.6 SysML Modeling Tool Support 250 17.6.1 Create Initial Functional Groups 251 17.6.2 Changing and Adding Functional Groups 254 17.6.3 Creating Functional Blocks and their Interfaces 254 17.7 Mapping of a Functional Architecture to a Physical Architecture 254 17.8 Experiences with the FAS Method 256 17.9 FAS Workshops 258 17.10 Quality Requirements and the Functional Architecture 259 17.11 Functional Architectures and the Zigzag Pattern 262 17.12 CPS-FAS for Cyber-physical Systems 263 18 Product Lines and Variants 269 18.1 Definitions Variant Modeling 270 18.2 Variant Modeling with SysML 271 18.3 Other Variant Modeling Techniques 276 19 Architecture Frameworks 279 19.1 Enterprise Architectures 280 19.2 Characteristics of System of Systems (SoS) 282 19.2.1 Emergence 283 19.3 An Overview of Architecture Frameworks 285 19.3.1 Zachman FrameworkTM 285 19.3.2 The TOGAF® Standard 286 19.3.3 Federal Enterprise Architecture Framework (FEAF) 288 19.3.4 Department of Defense Architecture Framework (DoDAF) 289 19.3.5 Ministry of Defense Architecture Framework (MODAF) 290 19.3.6 NATO Architecture Framework (NAF) 291 19.3.7 TRAK 292 19.3.8 European Space Agency Architectural Framework (ESA-AF) 293 19.3.9 OMG Unified Architecture Framework® (UAF®) 295 19.4 System Architecture Framework (SAF) 296 Together with Michael Leute 296 19.4.1 SAF and Enterprise Frameworks 296 19.4.2 SAF Ontology 298 19.5 What to Do When We Come in Touch With Architecture Frameworks 298 20 Cross-cutting Concerns 301 20.1 The Game-Winning Nonfunctional Aspects 301 20.2 Human System Interaction and Human Factors Engineering 303 20.3 Risk Management 304 20.4 Trade Studies 305 20.5 Budgets 306 21 Architecture Assessment 307 22 Making It Work in the Organization 313 22.1 Overview 313 22.2 Organizational Structure for Systems Architecting 314 22.3 Recipes from the Authors’ Experience 318 22.3.1 Be Humble 319 22.3.2 Appraise the Stakeholders 319 22.3.3 Care About Organizational Interfaces 319 22.3.4 Show that it Was Always There 321 22.3.5 Lead by Good Example 321 22.3.6 Collect Success Stories and Share them When Appropriate 322 22.3.7 Acknowledge that Infections Beat Dictated Rollout 323 22.3.8 Assign the System Architect Role to Yourself 324 22.3.9 Be a Leader 324 23 Soft Skills 327 23.1 It’s All About Communication 328 23.1.1 Losses in Communication 329 23.1.2 The Anatomy of a Message 330 23.1.3 Factors Influencing Communication 333 23.1.3.1 The Language 333 23.1.3.2 The Media Used 333 23.1.3.3 Spatial Distance 333 23.1.3.4 Various Connotations of Words 335 23.1.4 The Usage of Communication Aids and Tools 335 23.2 Personality Types 338 23.2.1 Psychological Types by C. G. Jung 338 23.2.2 The 4MAT System by Bernice McCarthy 340 23.3 Team Dynamics 341 23.4 Diversity and Psychological Safety 342 23.4.1 Project Aristotle (Google) 342 23.4.2 Elements of Psychological Safety 343 23.5 Intercultural Collaboration Skills 344 24 Outlook: The World After Artificial Intelligence 347 Appendix A OMG Systems Modeling Language 349 A.1 Architecture of the Language 350 A.2 Diagram and Model 352 A.3 Structure Diagrams 353 A.3.1 Block Definition Diagram 354 A.3.2 Internal Block Diagram 357 A.3.3 Parametric Diagram 361 A.3.4 Package Diagram 362 A.4 Behavior Diagrams 363 A.4.1 Use Case Diagram 364 A.4.2 Activity Diagram 366 A.4.3 State Machine Diagram 369 A.4.4 Sequence Diagram 371 A.5 Requirements Diagram 372 A.6 Extension of SysML with Profiles 374 A.7 Next-Generation Modeling Language SysML v2 376 Appendix B The V-Model 381 B.1 A Brief History of the V-Model or the Systems Engineering Vee 381 B.2 A Handy Illustration but No Comprehensive Process Description 383 B.3 Critical Considerations 385 B.3.1 The V-Model as Process Description 386 B.3.2 The V-Model Does Not Impose a Waterfall Process 386 B.3.3 The V-Model Accommodates Iterations 387 B.3.4 The V-Model Permits Incremental Development 387 B.3.5 The V-Model and Concurrent Engineering 388 B.3.6 The V-Model Accommodates Change 388 B.3.7 The V-Model Permits Early Verification Planning 388 B.3.8 The V-Model Shows Where to Prevent Dissatisfaction 388 B.4 Reading Instruction for a Modern Systems Engineering Vee 389 B.4.1 The Vertical Dimension 389 B.4.2 The Horizontal Dimension 389 B.4.3 The Left Side 389 B.4.4 The Right Side 390 B.4.5 The Levels 390 B.4.6 Life Cycle Processes 390 B.4.7 The Third Dimension 390 Appendix C Glossary 391 C.1 Heritage of the Term “Glossary” 391 C.2 Terms with Specific Meaning 393 References 399 Index 417

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Book SynopsisMake Volume 34 takes to the sky, land, and the sea with projects and articles about underwater robots, incredible kites, and easy-to-make robots that are packed with personality.

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Book SynopsisDo your think Arduino is il migliore? Do you salivate for a piece of Raspberry Pi? Does your tail wag at the idea of a BeagleBone? In MAKE Volume 36, we're taking a deep dive on the boards that are fueling a new smart device revolution.

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Book SynopsisThe cassette tape was revolutionary. Cheap, portable, and reusable, this small plastic rectangle changed music history. This entertaining book charts the journey of the cassette from its invention in the early 1960s to its Walkman-led domination in the 1980s to decline at the birth of compact discs to resurgence among independent music makers.Trade ReviewAn affectionate ode . . . Masters constructs a lively and detailed case for the cassette as a vital driver of cultural creation. This charming history is sure to please anyone nostalgic for the mixtapes of yesteryear."—Publishers Weekly A thoroughly enjoyable romp . . . With energy, insight, and wit, Masters provides a welcome examination of an often overlooked cultural turning point."—Kirkus Reviews (STARRED review) This accessible primer unravels past and present uses and misuses of cassettes. . . . Masters builds a generous lineage, where it is clear that as much as 'sounds realign magnetic particles on a tape . . . the tape realigns your brain.'"—The Wire Knowingly written from the perspective of an entangled enthusiast rather than a distanced observer, [High Bias] carries an awareness that an objective history of the impact of a piece of technology isn't possible, all we can do is collect the stories we tell through it. . . . High Bias is a material history, but it's also a folk history."—The Quietus "Masters, whose work often goes far below the surface of all things sonic . . . offers a fascinating look at the shifting role of cassettes over the years—and some of the fascinating ways in which people have used them."—InsideHook A wonderful book, whose title is derived from the term for tape quality."—The Goo

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Book SynopsisTesting and optimizing the performance of digital products with Siemens NX and Simcenter 3DIn times of Industry 4.0 the digitalization of the value-chain becomes more and more important. The so-called digital twin allows simulations that are very close to reality. This book provides all necessary basics to perform simple as well as complex simulations with NX and Simcenter 3D (former NX CAE). It is aimed at design engineers, CAE engineers and engineering students.The following topics are covered in the book: Motion Simulation (MBD) Design Simulation (FEA, Nastran) Simcenter/Advanced Simulation (FEA, CFD and EM) Management of Calculation and Simulation Data (Teamcenter for Simulation) Starting off with brief theoretical introductions each chapter contains learning tasks of increasing difficulty. Most of them are based on the CAD model of the legendary Opel RAK2. The presented methods are based on NX 12 and Simcenter 3D, the new 3D CAE solution. Revised topics in this edition are Motion Simulation with the LMS solver and post-processing in Simcenter (FEA). The CAD data and calculation results of all exercises can be found online. The exercises can be completed in NX 11, NX 12 and probably later versions.

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Book SynopsisMarket Driven Supply Chains shows how supply chain management directly impacts the competitiveness and financial performance of a company. The premise is that a company needs to be responsive to enable the supply chain to adapt from one niche to another. The basic framework is discussed at length in Chapter 1 and it outlines how the fit between market drivers and supply chain processes can be assessed in the context of a product or service. Chapter 2 discusses demand and revenue management for shaping demand. Various concepts of capacity allocation, dynamic pricing, demand allocation, and mass customization are explored. In Chapter 3, the theme is managing capacity for market volatility and includes issues such as building flexibility, demand allocation between stable and agile suppliers, outsourcing, demand decoupling, capacity trading, and capacity network are explored at length. Chapter 4 reviews new product and process configuration for demand volatility, attribute mapping techniques such as the house of quality, fit between supply chains and products, product modules, facility configuration, and re-sequencing, and redesigning processes. Chapter 5 covers procurement and the choice of supply network including network design, supplier relationship, and contracts. Finally, Chapter 6 examines the modalities of response in a supply chain disruption including proactive and reactive approaches. Market Driven Supply Chains should be of interest to both the academics and industrial practitioners, and would be of great value to graduate students in business and engineering. Modeling approaches for new problems are suggested along with discussion of case studies and other examples.Table of ContentsPreface. Introduction. 1. Market Drivers and Supply Chains. 2. Demand and Revenue Management. 3. Capacity Restructuring. 4. Product Reconfiguation. 5. Supplier Network. 6. Supply Chain Disruption.

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Book SynopsisThis book offers practical tools in Python to students of innovation, as well as competitive intelligence professionals, to track new developments in science, technology, and innovation. The book will appeal to both—tech-mining and data science audiences. For tech-mining audiences, Python presents an appealing, all-in-one language for managing the tech-mining process. The book is a complement to other introductory books on the Python language, providing recipes with which a practitioner can grow a practice of mining text. For data science audiences, this book gives a succinct overview over the most useful techniques of text mining. The book also provides relevant domain knowledge from engineering management; so, an appropriate context for analysis can be created. This is the first book of a two-book series. This first book discusses the mining of text, while the second one describes the analysis of text. This book describes how to extract actionable intelligence from a variety of sources including scientific articles, patents, pdfs, and web pages. There is a variety of tools available within Python for mining text. In particular, we discuss the use of pandas, BeautifulSoup, and pdfminer.

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Book SynopsisThis text serves as the companion text to Introductory Engineering Mathematics, which introduces common mathematical concepts we see in engineering, including trigonometry, calculus, and functions. This text assumes a level of mathematics of a high school senior, plus some elements from the introductory text. Additional concepts we see in engineering are also introduced: specifically, matrices, differential equations, and some introduction to series. The concepts are introduced by examples rather than strict mathematical derivation. As a result, this text likely will not be an effective substitute for a differential equations course, but by illustrating the implementation of differential equations, it can be a companion to such a course. We primarily use historical events as examples (including failures) to illustrate the use of mathematics in engineering and the intersection of the disciplines. We hope you develop an appreciation for how to apply these concepts, and find a new lens through which to view engineering successes (and failures).

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Book SynopsisThis text serves as a concise introduction to the ocean of information collectively known as ""Engineering Mathematics."" Admittedly, compiling everything into a short book that is useful to any audience is an impossible task; therefore, we picked a few main ideas holding up the mathematics within the engineering curriculum instead of stuffing all of the details into such a small package. This text addresses conceptual understanding as often as possible by providing an intuitive basis for formalized study within engineering/mathematics. Whether you are a math or science instructor tasked to teach an engineering class, a high school student looking into engineering, or an engineering student already, we hope you are able to walk away from this text with tangible outcomes—maybe even a refined perspective on the subject.

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Book SynopsisThough engineering design can tackle the world's most pressing challenges, engineering-related courses and experiences are often alienating, especially to people from minoritized groups. Literacies of Design: Studies of Equity and Imagination in Engineering and Making covers the latest pedagogical theories—as well as case studies and practical tips—to support diverse people in identifying problems and designing solutions through engineering and making. Engineers tackle a range of problems, big and small, from climate change to viral transmission to improved handrails for persons with disabilities. Inclusion and equity efforts include not only preparing the next generation of engineers and makers, but also creating and fostering spaces where youth can express their ideas and bring forth their whole selves. This book offers theories and real-life examples for educators and practitioners at every level, from K–12 through higher education and beyond. Table of Contents Introduction: Literacies and Design for Equity, by Amy Wilson-Lopez, Alberto Esquinca, Joel Alejandro Mejia, and Eli Tucker-Raymond 1 "It's Like a Rock Puzzle in a Wall": Multiliteracies and Design Practices in First-Grade Engineering, by Salem R. Metzger, Alison K. Mercier, and Heidi B. Carlone 2 Elementary Students' Communicative Practices in the Engineering Design Process Across Materials and Modes, by Lynn E. Shanahan, Mary B. McVee, and Katarina Silvestri 3 Amplifying a Student's Voice: An Engineering Design Unit About Communication, by Gabriel DellaVecchia and Annemarie Sullivan Palincsar 4 Engineering Design in a Dual-Language Classroom, by Alberto Esquinca and Lidia Herrera-Rocha 5 The Face-to-Face Language of Engineering Design Teams in Urban Elementary Classrooms, by Patricia Paugh, Kristen Wendell, and Christopher Wright 6 Answerability in Making Democratic Worlds: An Exploration of One Fifth-Grade Teacher's Engineering Communication in Service of Dialogic Citizenship, by Michelle E. Jordan 7 Action Civics, Literacies, and Design: Transforming Community Spaces Through Engineering and Civic Action, by Amy Wilson-Lopez, Karen Hazel Washburn, and Indhira María Hasbún 8 Twinning Critical Community and Technical Literacies: Exploring Design Literacies Toward Equitable and Consequential Making and Engineering With Historically Marginalized Youth, by Edna Tan and Angela Calabrese Barton 9 "It Will Be a Symphony of Children": Learning STEM Literacies Through Technologies of the Heart in Making Spaces, by Eli Tucker-Raymond, Brian E. Gravel, Susan Klimczak, Aditi Wagh, and Ada Ren-Mitchell 10 Make Some Noise: Teens Respond to Sound Pollution in a Community Problem-Solving Project, by Jasmine Nation, David Sañosa, Joi Duncan, and Richard Durán 11 Designing for Justice in a School-Based Makerspace, by Virginia Killian Lund and Nathan C. Phillips 12 Contortion and Contextual Literacy: How Low-Income, First-Gen Engineering Students Manage Relationships Among People, Texts, and Objects, by Jessica M. Smith and Juan C. Lucena 13 Critical Literacies in Practice: Deconstructing Engineering Through an Engineering Social Justice Course, by Joel Alejandro Mejia and Renata A. Revelo About the Contributors Index

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Book SynopsisThough engineering design can tackle the world's most pressing challenges, engineering-related courses and experiences are often alienating, especially to people from minoritized groups. Literacies of Design: Studies of Equity and Imagination in Engineering and Making covers the latest pedagogical theories—as well as case studies and practical tips—to support diverse people in identifying problems and designing solutions through engineering and making. Engineers tackle a range of problems, big and small, from climate change to viral transmission to improved handrails for persons with disabilities. Inclusion and equity efforts include not only preparing the next generation of engineers and makers, but also creating and fostering spaces where youth can express their ideas and bring forth their whole selves. This book offers theories and real-life examples for educators and practitioners at every level, from K–12 through higher education and beyond. Table of Contents Introduction: Literacies and Design for Equity, by Amy Wilson-Lopez, Alberto Esquinca, Joel Alejandro Mejia, and Eli Tucker-Raymond 1 "It's Like a Rock Puzzle in a Wall": Multiliteracies and Design Practices in First-Grade Engineering, by Salem R. Metzger, Alison K. Mercier, and Heidi B. Carlone 2 Elementary Students' Communicative Practices in the Engineering Design Process Across Materials and Modes, by Lynn E. Shanahan, Mary B. McVee, and Katarina Silvestri 3 Amplifying a Student's Voice: An Engineering Design Unit About Communication, by Gabriel DellaVecchia and Annemarie Sullivan Palincsar 4 Engineering Design in a Dual-Language Classroom, by Alberto Esquinca and Lidia Herrera-Rocha 5 The Face-to-Face Language of Engineering Design Teams in Urban Elementary Classrooms, by Patricia Paugh, Kristen Wendell, and Christopher Wright 6 Answerability in Making Democratic Worlds: An Exploration of One Fifth-Grade Teacher's Engineering Communication in Service of Dialogic Citizenship, by Michelle E. Jordan 7 Action Civics, Literacies, and Design: Transforming Community Spaces Through Engineering and Civic Action, by Amy Wilson-Lopez, Karen Hazel Washburn, and Indhira María Hasbún 8 Twinning Critical Community and Technical Literacies: Exploring Design Literacies Toward Equitable and Consequential Making and Engineering With Historically Marginalized Youth, by Edna Tan and Angela Calabrese Barton 9 "It Will Be a Symphony of Children": Learning STEM Literacies Through Technologies of the Heart in Making Spaces, by Eli Tucker-Raymond, Brian E. Gravel, Susan Klimczak, Aditi Wagh, and Ada Ren-Mitchell 10 Make Some Noise: Teens Respond to Sound Pollution in a Community Problem-Solving Project, by Jasmine Nation, David Sañosa, Joi Duncan, and Richard Durán 11 Designing for Justice in a School-Based Makerspace, by Virginia Killian Lund and Nathan C. Phillips 12 Contortion and Contextual Literacy: How Low-Income, First-Gen Engineering Students Manage Relationships Among People, Texts, and Objects, by Jessica M. Smith and Juan C. Lucena 13 Critical Literacies in Practice: Deconstructing Engineering Through an Engineering Social Justice Course, by Joel Alejandro Mejia and Renata A. Revelo About the Contributors Index

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Book SynopsisWhen the first gusher blew in at Spindletop, near Beaumont, Texas, in 1901, petroleum began to supplant cotton and cattle as the economic engine of the state and region. Very soon, much of the workforce migrated from the cotton field to the oilfield, following the lure of the wealth being created by black gold.The early decades of the twentieth century witnessed the development of an oilfield culture, as these workers defined and solidified their position within the region’s social fabric. Over time, the work force grew more professionalized, and technological change attracted a different type of labourer.Bobby D. Weaver grew up and worked in the oil patch. Now, drawing on oral histories supplemented and confirmed by other research, he tells the colourful stories of the workers who actually brought oil wealth to Texas. Drillers, shooters, toolies, pipeliners, teamsters, roustabouts, tank builders, roughnecks . . . each of them played a role in the frenzied, hard-driving lifestyle of the boomtowns that sprouted overnight in association with each major oil discovery.Weaver tracks the differences between company workers and contract workers. He details the work itself and the ethos that surrounds it. He highlights the similarities and differences from one field to another and traces changing aspects of the work over time. Above all, Oilfield Trash captures the unique voices of the labouring people who worked long, hard hours, often risking life and limb to keep the drilling rigs “turning to the right”.Trade Review…welcome addition to the relatively sparse literature on the history of work in the Texas oil industry. Bobby D. Weaver draws on an abundant supply of interviews and his own insights as a former roughneck to paint a vivid picture of life among the state's independent upstream drilling contractors…accessible descriptions of work in the oil patch…an important contribution to an understudied aspect of southern labor history."" - Journal of Southern History“…the personal stories of the men who labored in and around the oilfields . . . is densely packed with informative tidbits that describe the hardships experienced as part of daily life in a succession of Texas oilfield and boomtowns beginning on the Texas Coast and moving into West Texas. The reader learns not just about the men’s lives but also about the professionalization that took place in the oil patch…enriches the book with explanations of oilfield slang and terminology. This is an important book. Weaver’s book provides a unique glimpse into the actual lives of the 'oilfield trash.” - Southwestern Historical Quarterly

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Book SynopsisAfter a devastating hurricane in 1919, the people of Corpus Christi faced the stark reality of their vulnerability. It was clear that something had to be done, but the mere will to take precautionary measures did not necessarily lead the way. Instead, two decades would pass before an effective solution was in place. Mary Jo O’Rear, author of Storm over the Bay, returns to tell the story of a city’s long and often frustrating path to protecting itself. Bulwark Against the Bay reveals the struggle to construct a seawall was not merely an engineering challenge; it was also bound up with the growing popularity of the Ku Klux Klan, local aversion to Roman Catholicism, the emergence of the League of United Latin American Citizens, new efforts on behalf of African American equality, the impact of the Great Depression, support for Franklin Roosevelt, and reactions to the New Deal. A case study of a community wrestling with itself even as it races with the clock, Bulwark Against the Bay adds to our understanding of urban history, boardroom and backroom politics, and the often harsh realities of geography and climate.Trade ReviewMary Jo O'Rear provides much appreciated background to one of the best known and most significant works of urban civil engineering in Texas. This book will continue the project of a number of recent historians of bringing Corpus Christi more firmly into the story of modern and urban Texas. O'Rear's primary research is truly innovative. No one has looked in such detail at such a variety of sources for post-1919 Corpus Christi before. ?"" - Alan Lessoff, professor of history, Illinois State University""The book draws in the reader with tales of intrigue and the sometimes duplicitous behavior of politicians, citizens, and even an artist, Gutzon Borglum, who was brought in to help design a seawall in the 1920s. Bulwark Against the Bay will provide interesting, and enriching reading for urban historians and Texas historians as well as the general reading public. Residents of the city will enjoy reading the story of the city’s development in the early twentieth century. O'Rear deftly interweaves stories about the Ku Klux Klan, the religious and political tensions, and personality clashes that fueled the city’s development."" - Anthony Quiroz, Professor of History, Texas A&M University""Almost on a daily basis we travel past major public works without giving thought to what it took to accomplish such impressive improvements to the natural environment. In Corpus Christi, known along the Texas Gulf coast as the ""Sparkling City by the Sea,"" one of the most significant of these projects is its pre-WW II downtown seawall. It took decades of tragic events, including the loss of hundreds of lives in an unnamed 1919 hurricane, local as well as national political maneuvering, creative funding and deal making, and just plain hard work on the part of countless unsung heroes to get this structure built. From concept to concrete, Mary Jo O’Rear’s Bulwark Against the Bay captures the story of this historic storm protection system and the men and women associated with its design and construction, which helped transform a burgeoning coastal town into a modern city. This book is a must-read if you’re interested in the tale of the less-than-straight and many times bumpy path the Corpus Christi seawall took before the vision to build it became a reality."" - W. Allan Hayes, P.E. Past President, Nueces County Historical Society

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Book Synopsis

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Book SynopsisThe Economics of Technology Transfer presents a selection of the most important articles in the field, many of which are not easily accessible. The volume pays particular attention to issues facing developing countries in the context of rapid technical change, globalisation of production and the international spread of innovation itself. Part I focuses on theory and concepts. Part II, which examines multinationals, deals with the main engines of technology development and transfer. Part III discusses developing countries, pointing to the possible conflict between internalised technology transfer (via multinational enterprises) and the needs of domestic technological capability building. The final two parts include papers on technology transfer processes and issues in selected countries of Latin America, East Asia, the transition economies and the mature industrial economies.The Economics of Technology Transfer will be essential reading for students, researchers and policy makers concerned with international technology transfer.Trade Review'This is an excellent collection of readings on the economics of technology transfer. The editor has done scholars and teachers of the subject a great service by bringing them to one place. This volume makes a valuable addition to our libraries, and our teaching materials.' -- Richard R. Nelson, Columbia University, US'The editor of this collection of papers, Sanjaya Lall, is an outstanding researcher on the economics of technical change. This new book The Economics of Technology Transfer brings together twenty of the best papers on this hitherto rather neglected subject. It is very welcome and highly relevant to the contemporary debate on 'globalisation'.' -- Christopher Freeman, SPRU - Science and Technology Policy Research, University of Sussex, UK and Maastricht University, The NetherlandsTable of ContentsContents: Acknowledgements Introduction Sanjaya Lall PART I THEORY AND CONCEPTS 1. Edwin Mansfield (1975), ‘International Technology Transfer: Forms, Resource Requirements, and Policies’ 2. F. Lissoni and J.S. Metcalfe (1994), ‘Diffusion of Innovation Ancient and Modern: A Review of the Main Themes’ 3. Tagi Sagafi-nejad (1991), ‘International Technology Transfer Literature: Advances in Theory, Empirical Research, and Policy’ PART II MULTINATIONALS AND TECHNOLOGY TRANSFER 4. D.J. Teece (1977), ‘Technology Transfer by Multinational Firms: The Resource Cost of Transferring Technological Know-how’ 5. John Cantwell (1995), ‘The Globalisation of Technology: What Remains of the Product Cycle Model?’ 6. François Chesnais (1988), ‘Multinational Enterprises and the International Diffusion of Technology’ 7. G.K. Helleiner (1975), ‘The Role of Multinational Corporations in the Less Developed Countries’ Trade in Technology’ 8. John H. Dunning (1981), ‘The Consequences of International Transfer of Technology by MNEs: Some Home Country Implications’ PART III TECHNOLOGY TRANSFER AND DEVELOPMENT 9. J.L. Enos (1989), ‘Transfer of Technology’ 10. David C. Mowery and Joanne E. Oxley (1995), ‘Inward Technology Transfer and Competitiveness: The Role of National Innovation Systems’ 11. Howard Pack and Kamal Saggi (1997), ‘Inflows of Foreign Technology and Indigenous Technological Development’ 12. Sanjaya Lall (1993), ‘Promoting Technology Development: The Role of Technology Transfer and Indigenous Effort’ 13. Linsu Kim (1991), ‘Pros and Cons of International Technology Transfer: A Developing Country’s View’ PART IV DEVELOPING AND TRANSITION ECONOMIES 14. Carlos M. Correa (1995), ‘Innovation and Technology Transfer in Latin America: A Review of Recent Trends and Policies’ 15. Mike Hobday (1995), ‘East Asian Latecomer Firms: Learning the Technology of Electronics’ 16. John A. Mathews (1997), ‘A Silicon Valley of the East: Creating Taiwan’s Semiconductor Industry’ 17. Poh-Kam Wong (1997), ‘Creation of a Regional Hub for Flexible Production: The Case of the Hard Disk Drive Industry in Singapore’ 18. Slavo Radosevic (1996), ‘The Eastern European Latecomer Firm and Technology Transfer: From “Muddling Through” to “Catching Up”’ PART V DEVELOPED ECONOMIES 19. Keith Pavitt (1985), ‘Technology Transfer Among the Industrially Advanced Countries: An Overview’ 20. Daniele Archibugi and Jonathan Michie (1995), ‘The Globalisation of Technology: A New Taxonomy’ Name Index

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Book SynopsisThe aim of the second edition of this book is to provide a comprehensive survey of the different algorithms and data structures useful for triangulation and meshing construction. In addition, several aspects are given full coverage, such as mesh modification tools, mesh evaluation criteria, mesh optimization, adaptive mesh construction and parallel meshing techniques. This new edition has been comprehensively updated and also includes a new chapter on mobile or deformable meshes.Table of ContentsChapter 1. General definitions. Chapter 2. Basic structures and algorithms. Chapter 3. A comprehensive survey of mesh generation methods. Chapter 4. Algebraic, PDE and multibloc methods. Chapter 5. Quadtree-octree-based methods. Chapter 6. Advancing front technique for mesh generation. Chapter 7. Delaunay-based mesh generation methods. Chapter 8. Other types of mesh generation methods. Chapter 9. Delaunay admissibility, media axis, mid-surface and other applications. Chapter 10. Quadratic forms and metrics. Chapter 11. Differential geometry. Chapter 12. Curve modeling. Chapter 13. Surface modeling. Chapter 14. Surface meshing and re-meshing. Chapter 15. Meshing implicit curves and surfaces. Chapter 16. Mesh modifications. Chapter 17. Mesh optimization. Chapter 18. Surface mesh optimization. Chapter 19. A touch of finite elements. Chapter 20. Mesh adaptation and h-methods. Chapter 21. Mesh adaptation and p or hp-methods. Chapter 22. Mobile or deformable meshes. Chapter 23. Parallel computing and meshing issues.

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Book SynopsisThis series of five volumes proposes an integrated description of physical processes modeling used by scientific disciplines from meteorology to coastal morphodynamics. Volume 1 describes the physical processes and identifies the main measurement devices used to measure the main parameters that are indispensable to implement all these simulation tools. Volume 2 presents the different theories in an integrated approach: mathematical models as well as conceptual models, used by all disciplines to represent these processes. Volume 3 identifies the main numerical methods used in all these scientific fields to translate mathematical models into numerical tools. Volume 4 is composed of a series of case studies, dedicated to practical applications of these tools in engineering problems. To complete this presentation, volume 5 identifies and describes the modeling software in each discipline.Table of ContentsIntroduction xvii PART 1. OPERATIONAL HYDROLOGY 1 Chapter 1. Developing the Flood Alert Map 3 Christophe CALAS, Jean-Michel TANGUY and François BRESSAND Chapter 2. Generation of a Flood in a Rapid Basin (Gard 2002) 21 Georges-Marie SAULNIER Chapter 3. Forecasting a Flood in a Branched Network (Aude 1999) 29 Jean-Michel SOUBEYROUX Chapter 4. Hydrological Modeling Spatialized on Two Mediterranean River Basins. Application in Flood Forecasting 37 Arthur MARCHANDISE and Christophe BOUVIER Chapter 5. Ensemble Hydrological Forecasting and Alert with the European Flood Alert System (EFAS): Case of the Danube Basin Floods in August 2005 47 Maria-Helena RAMOS, Jutta THIELEN and Ad DE ROO PART 2. FLUVIAL HYDRAULICS 63 Chapter 6. Propagation of a Flood in a Branched Network (Marne 1999) 65 Patrick CHASSÉ Chapter 7. Flood Propagation in a Looped Network (Wateringues) 73 Jean-Baptiste FAURE Chapter 8. Generation and Propagation of a Flash Flood on a River Basin (Aude 1999) 83 Jacques CHORDA and Marie Madeleine MAUBOURGUET Chapter 9. Dynamics of the Flooding of Floodable Flatlands (Aude 1999) 93 Jean-Michel TANGUY Chapter 10. Failure of a Dike in a Flood Environment (Agly 1999) 101 André PAQUIER Chapter 11. Flooding by Groundwater Upwelling at Remiremont (Moselle) 113 Philippe SERGENT Chapter 12. NAVMER: Ship Path Simulator 123 Yann HOLLOCOU and Son Ha LAM PART 3. HYDROGEOLOGY 141 Chapter 13. Interaction between Surface and Subsurface Flows: Somme Basin 143 Dominique THIÉRY Chapter 14. Hydrogeological Modeling of the Karst System on the Lez River (Montpellier) 157 Nathalie DÖRFLIGER, Perrine FLEURY, Bernard LADOUCHE and Hervé JOURDE PART 4. GENERATION AND PROPAGATION OF FLOODS IN AN URBAN ENVIRONMENT 165 Chapter 15. Hydraulic Study of the Marseille Vieux-Port River Basin 167 Frédéric PONS Chapter 16. Hydraulic Study of the Aude River in the Carcassonne Crossing 183 Arielle MASSON Chapter 17. Failure of a Dike in an Urban Environment: Amboise 193 Jean-Michel TANGUY Chapter 18. Study for the Prevention of Risks Associated with the Dikes of the Rhône and the Saône on Land Belonging to the Lyon Urban Community 199 Olivier BERTRAND PART 5. ESTUARY HYDRODYNAMICS 209 Chapter 19. Real-Time Estuary Modeling (Adour Maritime) 211 Jérôme SCHOORENS and Etienne LE PAPE Chapter 20. Operational Modeling of the Hydrodynamic Functioning of the Gironde Estuary 219 Réginald SARRALDE Chapter 21. 3D Modeling of Salinity and Sediment Suspension in the Loire Estuary: Coupling of Processes 231 Régis WALTHER and Eric DAVID PART 6. MARITIME HYDRAULICS 245 Chapter 22. Numerical Modeling of Sea States 247 Bertrand MICHARD Chapter 23. Taking Sea States into Account in Offshore Racing 259 Sylvain MONDON and Jean-Michel LEFÈVRE Chapter 24. Agitation Study for Roscoff-Bloscon Marina 265 Pascal LEBRETON Chapter 25. Swell Agitation at Dunkirk’s Western Port 277 Pierre DEBAILLON PART 7. TRANSPORTATION OF DISSOLVED SUBSTANCES, POLLUTION 285 Chapter 26. Study of Water Quality in the Seine 287 Patrick GOBLET and Stéphanie EVEN Chapter 27. Drift Forecasts for the Erika and Prestige Oil Spills 301 Pierre DANIEL PART 8. FLUVIAL AND MARITIME MORPHODYNAMICS 309 Chapter 28. Evolution of River Beds: Example of the Arc River 311 André PAQUIER Chapter 29. Modeling of Seabed Sediments Resuspension in the Dover Strait 323 Nicolas GUILLOU and Georges CHAPALAIN Chapter 30. Evolution of Beds around a Breakwater 331 Jean-Michel TANGUY Chapter 31. Project to “Restore the Maritime Character of the Mont-Saint-Michel” Hydrosedimentary Studies 341 Eric LAGROY DE CROUTTE List of Authors 361 Index 367 General Index of Authors 369 Summary of the Other Volumes in the Series 371

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Book SynopsisThis book is a contribution to the definition of a model based system engineering (MBSE) approach, designed to meet the objectives laid out by the INCOSE. After pointing out the complexity that jeopardizes a lot of system developments, the book examines fundamental aspects of systems under consideration. It goes on to address methodological issues and proposes a methodic approach of MBSE that provides, unlike current practices, systematic and integrated model-based engineering processes. An annex describes relevant features of the VHDL-AMS language supporting the methodological issues described in the book.Table of ContentsLIST OF FIGURES AND TABLE xi ACKNOWLEDGEMENTS xvii FOREWORD xxi Dominique LUZEAUX INTRODUCTION. GOALS OF PROPERTY MODEL METHODOLOGY xxv PART 1. FUNDAMENTALS 1 Chapter 1. General Systems Theory 3 1.1. Introduction 3 1.2. What is a system? 4 1.3. Systems, subsystems and levels 9 1.4. Concrete and abstract objects 11 1.5. Properties 12 1.5.1. Material and formal properties 12 1.5.2. Accidental and essential properties, laws and types 13 1.5.3. Dispositions, structural and behavioral properties 17 1.5.4. Resulting and emerging properties 18 1.6. States, event, process, behavior and fact 20 1.7. Systems of interest 23 CHAPTER 2. TECHNOLOGICAL SYSTEMS 25 2.1. Introduction 25 2.2. Definition of technological systems 25 2.2.1. Artificial autotelic and heterotelic systems 27 2.2.2. Technical-empirical and technological systems 27 2.2.3. Purpose of a technological system 28 2.3. Function, behavior and structure of a technological system 30 2.4. Intended and concomitant effects of a technological system 34 2.5. Modes, mode switching and states 36 2.5.1. Modes of operation 36 2.5.2. Mode switching 36 2.5.3. Operating states 37 2.6. Errors, faults and failures 37 2.7. “The human factor” 39 CHAPTER 3. KNOWLEDGE SYSTEMS 41 3.1. Introduction 41 3.2. Knowledge and its bearers 42 3.3. Intersubjective knowledge 44 3.4. Concepts, propositions and conceptual knowledge 45 3.5. Objective and true knowledge 47 3.6. Scientific and technological knowledge 50 3.6.1. Fundamental sciences 51 3.6.2. Applied sciences and technology 53 3.6.3. Operative technological rules 53 3.6.4. Substantive technological rules 55 3.7. Knowledge and belief 56 CHAPTER 4. SEMIOTIC SYSTEMS AND MODELS 59 4.1. Introduction 59 4.2. Signs and systems of signs 60 4.3. Nomological propositions and law statements 65 4.4. Models, object models, theoretical models and simulation 66 4.5. Representativeness of models and the expressiveness of languages 71 4.5.1. Representativeness of models 71 4.5.2. Expressiveness of a language 73 PART 2. METHODS 77 CHAPTER 5. ENGINEERING PROCESSES 79 5.1. Introduction 79 5.2. Systems engineering process 81 5.2.1. General framework 81 5.2.2. Design process 83 5.2.3. Safety assessment process 88 5.2.4. Requirement and assumption validation 90 5.2.5. Verification of the implementation regarding requirements 91 5.2.6. Managing configurations 92 5.2.7. Process (quality) assurance, certification and coordination with authorities 93 CHAPTER 6. DETERMINING REQUIREMENTS AND SPECIFICATION MODELS 95 6.1. Introduction 95 6.2. Specifications and requirements 98 6.3. Text-based requirements and subjectivity 100 6.4. Objectifying requirements and assumptions through property-based requirements 102 6.4.1. Definition 102 6.4.2. Examples 104 6.4.3. Typology and sources of PBR 106 6.5. Conjunction and comparison of property-based requirements 110 6.5.1. Comparison of two PBRs 111 6.5.2. Conjunction of two PBRs 112 6.6. Interpreting text-based requirements 114 6.6.1. Example 1: FAR29.1303(b) flight and navigation instruments 115 6.6.2. Example 2: FAR29.951(a) Fuel systems – General 119 6.7. Conclusion: specification models and concurrent assertions 121 CHAPTER 7. DESIGNING SOLUTIONS AND DESIGN MODELS 127 7.1. Introduction 127 7.2. Deriving requirements 128 7.3. Basic system model of a type of systems 131 7.4. Dynamic design models of a type of systems 133 7.4.1. Behavioral design model (BDM) 133 7.4.2. Equation-based design models (EDMs) 139 7.5. Derivation and allocation of the system’s behavioral requirements 141 7.6. Static design models 142 7.6.1. Composite system model 142 7.6.2. Structural design model 145 7.6.3. Allocation of BDM components to SDM components 146 7.7. Derivation and allocation of system requirements 146 7.8. The end of the design process and the realization 148 CHAPTER 8. VALIDATING REQUIREMENTS AND ASSUMPTIONS 151 8.1. Introduction 151 8.2. The validation process according to the ARP4754A 152 8.2.1. Goal of the validation 152 8.2.2. Means of validation 154 8.3. The validation process according to the property model methodology 156 8.3.1. Goal of the validation 157 8.3.2. Means of validation 158 8.3.3. Exactness of a system specification model 160 8.3.4. Validating the derivation of system requirements 161 8.3.5. Scenarios and validation cases, efforts and rigor in validation 162 8.4. Conclusion 167 CHAPTER 9. VERIFYING THE IMPLEMENTATION STEP BY STEP 169 9.1. Introduction 169 9.2. The verification process according to the ARP4754A 170 9.2.1. Goal of the verification 170 9.2.2. Verification methods 170 9.3. The verification process according to the property model methodology 173 9.3.1. Objects to be verified 173 9.3.2. Goal of the verification 174 9.3.3. Verifying the design 175 9.3.4. Verifying the other products of implementation 179 9.3.5. The contract theorem 181 9.4. Conclusion 181 CHAPTER 10. SAFETY ENGINEERING 183 10.1. Introduction 183 10.2. The safety assessment process according to the ARP4754A 184 10.2.1. Goal of safety assessment process 184 10.2.2. Means to assess safety 185 10.3. The safety assessment process according to the property model methodology (PMM) 191 10.3.1. Errors, faults and failures 191 10.3.2. FHA and interpretation of the 1309(b)(2)(i) requirements as PBRs 193 10.3.3. PASA/PSSA and deriving safety requirements 200 10.3.4. Simulation and validation of the derived safety requirements 204 10.3.5. Simulation and verification of the failure prevention mechanisms 206 10.3.6. Reliability design models 207 10.3.7. Safety theorem: validating additional requirements 208 10.4. Conclusion 211 CHAPTER 11. PROPERTY MODEL METHODOLOGY DEVELOPMENT PROCESS 213 11.1. Introduction 213 11.2. Early phase of a system development, preliminary studies 213 11.3. Steps of the industrial development of a type of systems 215 11.4. Initial step: highest level system specification 216 11.4.1. Initial step general approach 217 11.4.2. Establishing a specification model of the type of systems 218 11.5. Design steps: descending and iterative design of the building blocks down to the lowest level blocks 226 11.5.1. Design step of a non-terminal block 227 11.5.2. Behavioral design step of a terminal block 229 11.5.3. End of the design step 231 11.6. Realization step of the lowest level building blocks 231 11.7. Integration and installation steps 232 11.8. Conclusion 233 APPENDIX 235 BIBLIOGRAPHY 253 INDEX 261

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Book SynopsisBased on a structured approach to diversity, notably inspired by various forms of diversity of natural origins, Diversity and Non-integer Derivation Applied to System Dynamics provides a study framework to the introduction of the non-integer derivative as a modeling tool. Modeling tools that highlight unsuspected dynamical performances (notably damping performances) in an "integer" approach of mechanics and automation are also included. Written to enable a two-tier reading, this is an essential resource for scientists, researchers, and industrial engineers interested in this subject area. Table of Contents:1. From Diversity to Unexpected DynamicPerformance.2. The Robustness of Damping.3. Fractional Differentiation and its Memory.4. CRONE Suspension Idea.5. CRONE Control IdeaTable of Contents1. From Diversity to Unexpected Dynamic Performances. 2. Damping Robustness. 3. Non-Integer Differentiation, its Memory and its Synthesis. 4. On the CRONE Suspension. 5. On the CRONE Control. 6. Recursivity and Non-Integer Differentiation. Appendix 1. Damping of a Usual Automotive Suspension. Appendix 2. Relaxation of Water on a Porous Dyke. Appendix 3. Systems with Explicit and Implicit Generalized Derivative. Appendix 4. Generalized Differential Equation and Generalized Characteristic Equation. Appendix 5. CRONE Control Response with Initial Conditions. Appendix 6. Fractality and Non-integer Differentiation.

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Book SynopsisThe purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems in Engineering Sciences. It has been written within the framework of the European Union project ERRIC (Empowering Romanian Research on Intelligent Information Technologies), which is funded by the EU’s FP7 Research Potential program and has been developed in co-operation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the reader to explore various methods of implementation such as metaheuristics, local search and populationbased methods. It examines multi-objective and stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making.Table of ContentsLIST OF FIGURES ix LIST OF TABLES xiii LIST OF ALGORITHMS xv LIST OF ACRONYMS xvii PREFACE xix ACKNOWLEDGEMENTS xxi CHAPTER 1. METAHEURISTICS – LOCAL METHODS 1 1.1. Overview 1 1.2. Monte Carlo principle 6 1.3. Hill climbing 12 1.4. Taboo search 20 1.4.1. Principle 20 1.4.2. Greedy descent algorithm 20 1.4.3. Taboo search method 23 1.4.4. Taboo list 25 1.4.5. Taboo search algorithm 26 1.4.6. Intensification and diversification 30 1.4.7. Application examples 31 1.5. Simulated annealing 39 1.5.1. Principle of thermal annealing 39 1.5.2. Kirkpatrick’s model of thermal annealing 41 1.5.3. Simulated annealing algorithm 43 1.6. Tunneling 46 1.6.1. Tunneling principle 46 1.6.2. Types of tunneling 48 1.6.3. Tunneling algorithm 49 1.7. GRASP methods 51 CHAPTER 2. METAHEURISTICS – GLOBAL METHODS 53 2.1. Principle of evolutionary metaheuristics 53 2.2. Genetic algorithms 55 2.2.1. Biology breviary 55 2.2.2. Features of genetic algorithms 57 2.2.3. General structure of a GA 73 2.2.4. On the convergence of GA 77 2.2.5. How to implement a genetic algorithm 84 2.3. Hill climbing by evolutionary strategies 100 2.3.1. Climbing by the steepest ascent 101 2.3.2. Climbing by the next ascent 104 2.3.3. Hill climbing by group of alpinists 106 2.4. Optimization by ant colonies 107 2.4.1. Ant colonies 107 2.4.2. Basic optimization algorithm by ant colonies 110 2.4.3. Pheromone trail update 118 2.4.4. Systemic ant colony algorithm 122 2.4.5. Traveling salesman example 128 2.5. Particle swarm optimization 132 2.5.1. Basic metaheuristic 132 2.5.2. Standard PSO algorithm 141 2.5.3. Adaptive PSO algorithm with evolutionary strategy 146 2.5.4. Fireflies algorithm 163 2.5.5. Bats algorithm 173 2.5.6. Bees algorithm 182 2.5.7. Multivariable prediction by PSO 194 2.6. Optimization by harmony search 207 2.6.1. Musical composition and optimization 207 2.6.2. Harmony search model 208 2.6.3. Standard harmony search algorithm 212 2.6.4. Application example 215 CHAPTER 3. STOCHASTIC OPTIMIZATION 219 3.1. Introduction 219 3.2. Stochastic optimization problem 221 3.3. Computing the repartition function of a random variable 222 3.4. Statistical criteria for optimality 230 3.4.1. Case of totally admissible solutions 231 3.4.2. Case of partially admissible solutions 234 3.5. Examples 240 3.6. Stochastic optimization through games theory 245 3.6.1. Principle 245 3.6.2. Wald strategy (maximin) 247 3.6.3. Hurwicz strategy 248 3.6.4. Laplace strategy 249 3.6.5. Bayes–Laplace strategy 249 3.6.6. Savage strategy 250 3.6.7. Example 251 CHAPTER 4. MULTI-CRITERIA OPTIMIZATION 253 4.1. Introduction 253 4.2. Introductory examples 255 4.2.1. Choosing the first job 255 4.2.2. Selecting an IT tool 256 4.2.3. Setting the production rate of a continuous process plant 256 4.3. Multi-criteria optimization problems 257 4.3.1. Two subclasses of problems 257 4.3.2. Dominance and Pareto optimality 262 4.4. Model solving methods 265 4.4.1. Classifications 265 4.4.2. Substitution-based methods 266 4.4.3. Aggregation-based methods 270 4.4.4. Other methods 282 4.5. Two objective functions optimization for advanced control systems 292 4.5.1. Aggregating identification with the design of a dynamical control system 292 4.5.2. Aggregating decision model identification with the supervision 302 4.6. Notes and comments 307 CHAPTER 5. METHODS AND TOOLS FOR MODEL-BASED DECISION-MAKING 309 5.1. Introduction 309 5.2. Introductory examples 310 5.2.1. Choosing a job: probabilistic case 310 5.2.2. Starting a business 311 5.2.3. Selecting an IT engineer 311 5.3. Decisions and decision activities. 5.3.1. Definition 313 5.3.2. Approaches 314 5.4. Decision analysis 316 5.4.1. Preliminary analysis: preparing the choice 317 5.4.2. Making a choice: structuring and solving decision problems 330 5.5. Notes and comments 347 5.6. Other remarks/comments 347 CHAPTER 6. DECISION-MAKING – CASE STUDY SIMULATION 351 6.1. Decision problem in uncertain environment 351 6.2. Problem statement 352 6.3. Simulation principle 353 6.4. Case studies 357 6.4.1. Stock management 358 6.4.2. Competitive tender 362 6.4.3. Queuing process or ATM 365 APPENDIX 1 369 APPENDIX 2 377 BIBLIOGRAPHY 393 INDEX 413

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Book SynopsisThis book is the second volume in a set of books dealing with the evolution of technology, IT and organizational approaches and what this means for industrial equipment. The authors address this increasing complexity in two parts, focusing specifically on the field of Prognostics and Health Management (PHM). Having tackled the PHM cycle in the first volume, the purpose of this book is to tackle the other phases of PHM, including the traceability of data, information and knowledge, and the ability to make decisions accordingly. The book concludes with a summary analysis and perspectives regarding this emerging domain, since without traceability, knowledge and decision, any prediction of the health state of a system cannot be exploited.Table of ContentsPart 1. Traceability of Information and Knowledge Management 1. Intelligent Traceability of Equipment. 2. A Knowledge-oriented
 Maintenance Platform. 3. Intelligent Traceability Application. Part 2. Post-prognostic Decision 4. Position of Decision within the PHM Context. 5. Towards a Policy of
 Predictive Maintenance. 6. Maintenance in Operational Conditions.

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Book SynopsisNumerical simulation for welded component testing and design Recent Advances in Welding Simulation provides informative reference for mechanical engineers, structural engineers, fabricators, and manufacturers. An authoritative exploration of numerical simulation to support the design of welded components, this book covers residual stress, distortion simulation, friction stir welding, joint integrity, and more. Featuring discussion of the latest technology, techniques, and methods, this invaluable resource provides advanced insight into the challenging demands of welded joint design in today's applications.Table of ContentsWelding residual stresses and distortions simulated by the use of simplified methods; modelling of residual stresses at girth welds in pipes; nickel-base superalloy welding - models for residal sdtress, distortion and weldability; new capabilities of the software product SYSWELD for the prediciton of welding residual stresses in a thick section steel welds; friciton stir welding of aluminiumextrusions; integrity of welded joints in pressure vessels; a study of finite element meshing methods to be used in welding simulation for ship structures.

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Book SynopsisEngineering Disasters – Lessons to be Learned shows that there is always something to be learned from disasters. In this practical and highly relevant text Don Lawson has provided Thoroughly researched accounts of well-known disasters and failures worldwide Valuable interpretative sections, drawing out the lessons to be learned in each case Examples from a wide range of industries Background information and views of other experts in the field An excellent source of references for further study Common threads and conclusions from accident investigations Humans design, build, operate, use, maintain and can wreck engineering products. Humans are fallible. Engineers have to take into account all the potential failures of people, including other engineers, as well as failures of equipment and materials. Design engineering is a structured process using both art and science to create new or improved products – building on experience, bad as well as good. Failure occurs when something or someone fails to perform to expectations.Table of ContentsRobert Stephenson's Recommendation xiii; Preamble xv; Acknowledgements xvii; Introduction xix; Part 1 1; 1.1 The Hindenburg Disaster - Hydrogen Myth? 3; 1.1.1 The disaster 3; 1.1.2 Airship history 4; 1.1.3 Why were airships popular? 5; 1.1.4 The impact of world events and the political climate 6; 1.1.5 The key players 7; 1.1.6 The US investigation 8; 1.1.7 The Department of Commerce Report 9; 1.1.8 The role of the FBI 10; 1.1.9 The German investigation 11; 1.1.10 New developments in the 1990s 11; 1.1.11 Is this the end of the story? 13; 1.1.12 Some loose ends 14; 1.1.13 Lessons learned 17; 1.2 UK Railway Woes 21; 1.2.1 What's wrong? 21; 1.2.2 The early history of British railways 21; 1.2.3 Railways in the first half of the twentieth century 22; 1.2.4 Safety, risk, and regulation 22; 1.2.5 Nationalization 1947 23; 1.2.6 Privatization 25; 1.2.7 Lessons learned 40; 1.3 Signals Passed at Danger (SPADs) 43; 1.3.1 Accidents - road versus rail 43; 1.3.2 History 43; 1.3.3 Accidents at Clapham (1988), Southall (1997), and Ladbroke Grove (1999) 44; 1.3.4 What are ATP, ERTMS, ETCS, and GSM-R? 46; 1.3.5 The plan forward 48; 1.3.6 What has to be done? 49; 1.3.7 Some statistical data 49; 1.3.8 The safety case versus commercial costs 50; 1.3.9 Cost/benefit 50; 1.3.10 Experience with TPWS 51; 1.3.11 Lessons learned to date 51; 1.3.12 Lessons learned 57; 1.4 The Wheel/Rail Interface 59; 1.4.1 The rail as a beam 59; 1.4.2 Local contact stresses 59; 1.4.3 Vehicle dynamics 60; 1.4.4 Shakedown theory 61; 1.4.5 Crack propagation 62; 1.4.6 Fracture mechanics 65; 1.4.7 What limits rail life? 65; 1.4.8 Lubrication 65; 1.4.9 Wheel/rail profiles 66; 1.4.10 Metallurgy 66; 1.4.11 Inspection 67; 1.4.12 Experience on rail systems around the world 68; 1.4.13 Lessons learned 78; 1.5 Uskmouth Turbine Failure 83; 1.5.1 The failure 84; 1.5.2 Circumstances surrounding the failure 84; 1.5.3 What should have happened? 84; 1.5.4 The investigation 84; 1.5.5 The technical paper and discussion 86; 1.5.6 Lessons learned 89; 1.6 Dr Richard Feynman and the Challenger Shuttle Inquiry 91; 1.6.1 The Presidential Commission 91; 1.6.2 Dr Richard Feynman (1918-1988) 91; 1.6.3 Culture clash 92; 1.6.4 The working methods of the Commission 92; 1.6.5 The Space Shuttle and its solid booster rockets 92; 1.6.6 The SBR field joints 94; 1.6.7 Putty 95; 1.6.8 Seal test pressure 95; 1.6.9 Anomalies and erosion 96; 1.6.10 Preparation for the launch 96; 1.6.11 Raising concerns about the low temperature 96; 1.6.12 Accident sequence 97; 1.6.13 Dr Feynman at the inquiry 98; 1.6.14 Dr Feynman and Roger Bolsjoly 98; 1.6.15 Figures of fantasy 98; 1.6.16 Dr Feynman and the report writing 99; 1.6.17 The recommendations 99; 1.6.18 Dr Feynman's afterthoughts 100; 1.6.19 Lessons learned 109; 1.7 Lessons from the US Space Program 113; 1.7.1 Preface 113; 1.7.2 Technical and administrative management 113; 1.7.3 The funding trap 114; 1.7.4 Aggregate risk 114; 1.7.5 Achieving adequate safety levels 114; 1.7.6 Some of the small issues that can have a large impact 115; 1.7.7 Software/computers 115; 1.7.8 Summary 116; 1.8 Columbia - Deja Vu? 119; 1.8.1 The investigation board 119; 1.8.2 The physical cause of the disaster 120; 1.8.3 The debris 120; 1.8.4 The bipod and its foam insulation 120; 1.8.5 Shuttle damage 123; 1.8.6 Statistics 125; 1.8.7 Mission Management's role in the disaster 125; 1.8.8 Attitude to foam shedding prior to this mission 125; 1.8.9 The photographic record 126; 1.8.10 The engineers' assessment of the damage 126; 1.8.11 Crater - a tool outside its range 127; 1.8.12 Presentation of engineering analysis to Mission Management 127; 1.8.13 Mission Management's view and review of engineering input 127; 1.8.14 Requests for photographs 128; 1.8.15 Mission Management meetings 128; 1.8.16 Message to the crew 128; 1.8.17 Management view post-disaster 129; 1.8.18 CAIB's summary of management decisions 129; 1.8.19 Organizational flaws 129; 1.8.20 Budget and staff cuts 130; 1.8.21 Management of NASA 131; 1.8.22 Schedule pressure 132; 1.8.23 Previous investigations, reviews, and reports 132; 1.8.24 Safety organization 133; 1.8.25 Safety culture 133; 1.8.26 Can-do culture 134; 1.8.27 Engineering practices 134; 1.8.28 Challenger and Columbia similar disasters? 134; 1.8.29 Insights from organizational theory 135; 1.8.30 Insights from experience in other high-tech, high-risk industries 135; 1.8.31 Discussions with Dr Diane Vaughan 136; 1.8.32 CAIB's summary of organizational issues 137; 1.8.33 Other facts and issues 138; 1.8.34 Lessons learned 144; 1.9 Roll-on/Roll-off Ferries - Are they Safe Enough? 149; 1.9.1 History of ro-ro ships 149; 1.9.2 Accidents 150; 1.9.3 Herald of Free Enterprise 150; 1.9.4 Basic safety principles 151; 1.9.5 How do ro-ro ships meet these safety steps? 152; 1.9.6 Who calls the tune? 154; 1.9.7 Regulations and regulators 155; 1.9.8 Technical developments 158; 1.9.9 Actions by some other countries outside the Stockholm Agreement 160; 1.9.10 Maximum wave 161; 1.9.11 Statistics 162; 1.9.12 Lessons learned 167; 1.10 Bridges Too Far? 169; 1.10.1 Bridge failures 169; 1.10.2 Status of bridges in the United States 169; 1.10.3 The strange case of the bridge at Ynysygwas 170; 1.10.4 A selection of landmark bridge failures 171; The Dee Bridge collapse 171; The Tay Bridge disaster 174; The embarrassment on the bridge at Quebec City 179; Galloping Gertie - the Tacoma Narrows Bridge 187; The Milford Haven Bridge collapse 192; The Millennium Bridge failure 194; 1.10.5 Comments on bridges in general 199; 1.10.6 Lessons learned 202; 1.11 The De Havilland Comet Accidents 207; 1.11.1 Geoffrey de Havilland (1882-1965) 207; 1.11.2 Origins of the Comet airliner 208; 1.11.3 The design of DH106 - Comet 208; 1.11.4 Pressure cabin design 209; 1.11.5 Fatigue testing to confirm the design 209; 1.11.6 Operational experience 210; 1.11.7 The accident investigation 210; 1.11.8 RAE 210; 1.11.9 The fatigue results from service and test 213; 1.11.10 De Havilland versus RAE 214; 1.11.11 Lessons learned 219; 1.12 The Danger of Not Knowing 221; 1.12.1 Example 1. The Gimli glider 221; 1.12.2 Example 2. The day the Azores were in the right place 229; 1.12.3 Lessons learned 234; 1.13 Chernobyl Disaster 237; 1.13.1 Science in Russia 237; 1.13.2 A good fit - nuclear power and Communism 238; 1.13.3 Choosing the reactor for power generation 238; 1.13.4 Competition during the Cold War 238; 1.13.5 Fast expansion of the nuclear programme 239; 1.13.6 The RBMK reactor 239; 1.13.7 The test plan 241; 1.13.8 Events leading up to the test 242; 1.13.9 The accident 243; 1.13.10 Why did the power surge? 243; 1.13.11 Role of Valeri Legasov 244; 1.13.12 Role of Evgeny Velikhov 247; 1.13.13 Aftermath of the accident 248; 1.13.14 Lessons learned 252; 1.14 Radiation Hazards - Are Engineers Failing the Public? 255; 1.14.1 Background 255; 1.14.2 Radiation safety standards and regulation 256; 1.14.3 Data from the atomic bomb survivors 257; 1.14.4 Challenges to the radiation regulations 258; 1.14.5 Sources of radiation from nature and man-made sources 260; 1.14.6 Low-dose radiation models 261; 1.14.7 Epidemiology 261; 1.14.8 DNA damage 262; 1.14.9 Studies of hormesis and other work at low doses 264; 1.14.10 Effects of radiation from Chernobyl 267; 1.14.11 Lessons learned 274; Part 2 277; 2.1 Words of Wisdom 279; 2.1.1 Sir Alfred Pugsley (1903-1998) 279; 2.1.2 Alfred M. Freudenthal (1906-1977) 286; 2.1.3 Henry Petroski 289; 2.1.4 Trevor Kletz 291; 2.1.5 Hyman G. Rickover (1898 or 1900 [uncertainty] - 1986) 295; 2.2 Background - Placing Engineering into Perspective 301; 2.2.1 Science and engineering 301; 2.2.2 What is an engineer? 302; 2.2.3 Cycles in engineering 308; 2.2.4 Does history matter? 310; 2.2.5 Learning from the military 311; 2.2.6 Maintenance holiday - a familiar story 313; 2.3 Organizations Aiming to Reduce Risk - Worth Broader Exposure 315; 2.3.1 Peer reviews - INPO and WANO 315; 2.3.2 Lesson learned 319; 2.3.3 Standing Committee on Structural Safety (SCOSS) 319; 2.3.4 The Hazards Forum 328; 2.4 Technical Aspects of Failure 331; 2.4.1 The problem of probabilities 331; 2.4.2 Robustness 333; 2.4.3 From fatigue to structural integrity 335; 2.5 The Human Approach to Risk, Decisions, and Errors 347; 2.5.1 Dealing with risk 347; 2.5.2 Human decisions and errors 350; 2.5.3 Normal accidents versus High Reliability Theory 363; 2.6 An Engineer's Personal Story Worth Repeating 375; 2.6.1 What does it feel like to be associated with a disaster? 375; Part 3 379; 3.1 Drawing the Threads Together 381; 3.1.1 Is there a pattern to the failures? 381; 3.1.2 The three spheres of failure initiation 382; 3.1.3 The nature of disasters 383; 3.1.4 What are the common reasons for failures? 385; 3.1.5 Why do failures occur? 386; 3.2 The Role of Design 386; 3.3 Organizational Weaknesses 389; 3.4 What Do the Public Want? 390; 3.5 Making Better Decisions 392; 3.6 The Last Words! 393; Index 395

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Book SynopsisThis reference manual provides a list of approximately 300 technical terms and phrases common to environmental and civil engineering which non-English speakers often find difficult to understand in English. The manual provides the terms and phrases in alphabetical order, followed by a concise English definition, then a translation of the term in Spanish and, finally, an interpretation or translation of the term or phrase in Spanish. Following the Spanish translations section, the columns are reversed and reordered alphabetically in Spanish with the English term and translation following the Spanish term or phrase. The objective is to provide a technical term reference manual for non-English speaking students and engineers who are familiar with Spanish, but uncomfortable with English and to provide a similar reference for English speaking students and engineers working in an area of the world where the Spanish language predominates.

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Book SynopsisThis reference manual provides a list of approximately 300 technical terms and phrases common to environmental and civil engineering which non-English speakers often find difficult to understand in English. The manual provides the terms and phrases in alphabetical order, followed by a concise English definition, then a translation of the term in Tamil and, finally, an interpretation or translation of the term or phrase in Tamil. Following the Tamil translations section, the columns are reversed and reordered alphabetically in Tamil with the English term and translation following the Tamil term or phrase.

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Book SynopsisThis reference manual provides a list of approximately 300 technical terms and phrases common to environmental engineering which non-English speakers often find difficult to understand in English. The manual provides the terms and phrases in alphabetical order, followed by a concise English definition, then a translation of the term in Russian and, finally, an interpretation or translation of the term or phrase in Russian. Following the Russian translations section, the columns are reversed and reordered alphabetically in Russian with the English term and translation following the Russian term or phrase.The objective is to provide a technical term reference manual for non-English speaking students and engineers who are familiar with Russian, but uncomfortable with English and to provide a similar reference for English speaking students and engineers working in an area of the world where the Russian language predominates

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Book SynopsisBiomedical engineering is one of the most prominent and rapidly developing engineering fields. It is a discipline that is involved in the development of devices, algorithms, processes, procedures and systems to enhance and improve the medical field. Biomedical engineering has multiple areas of specialization that include: biomechanics, biomaterials, tissue engineering, imaging, and bioinstrumentation. This book serves as a guide to students and professionals seeking to understand commonly used technical terms and phrases in the biomedical engineering field. The content is specifically designed to define technical terms in a general context to facilitate an overall understanding. The author begins by translating terms in English to Arabic then Arabic to English. This text can be used as a tool in the academic or professional environment for both English speaking and non-English speaking individuals alike.

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Book SynopsisThis two-volume set has been written primarily for engineers, technicians, and scientists who are contemplating the unknown but attractive world of technological entrepreneurship, a key driver of economic growth in developed countries and critical in stimulating growth in developing countries. The purpose is to prepare these professionals as members of teams focusing on commercializing new technology-based products. The material has also been used to introduce engineering students to the processes involved in technological entrepreneurship. Volume one provides a background of fundamentals and theory to prepare the reader for the venture launch. Topics include the entrepreneurial process, the venture team, developing and marketing high tech products, and launching the new venture. Volume two goes into detail in critical areas such as intellectual property protection, legal forms of organization, financial projections, and business plan preparation and delivery. The primary emphasis is focused on creating lean and agile organizations capable of recognizing opportunities, quickly developing introductory products for small test markets to better define the opportunities, and using the results of those test markets to arrive at a product with wide acceptance capable of driving growth.

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